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Cryptographic Protocols Based on Nielsen Transformations ()

*AUT (F)*, is generated by a regular Nielsen transformation between two basis of F, and each regular Nielsen transformation between two basis of F defines an automorphism of F.

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*Journal of Computer and Communications*,

**4**, 63-107. doi: 10.4236/jcc.2016.412004.

1. Introduction

This paper is located in the area of group based cryptography. A cryptographic protocol consists of the collection of rules, formulas and methods to handle a cryptographic task. In cryptology it is common to call the parties who want to communicate privately with each other Alice and Bob.

The traditional cryptographic protocols, both symmetric key and public key, such as the RSA algorithm, Diffie-Hellman and elliptic curve methods, are number theory based. Hence, from a theoretical point of view, they depend on the structure of abelian groups. Although there have been no successful attacks on the standard protocols, there is a feeling that the strength of computing machinery has made the techniques less secure. As a result of this, there has been an active line of research to develop and analyse new cryptographic protocols, as for example cryptosystems and key exchange protocols, based on non-commutative cryptographic platforms. Up to this point the main sources for non-commutative platforms have been nonabelian groups. For an overwiev about mathematical cryptography see [1] and especially for a book about non-commutative group based cryptography see [2] .

Important along the line of cryptographic protocols are secret sharing protocols. These consist of methods to distribute a secret among a group of users by giving a share of the secret to each. The secret can be recovered only if a sufficient number of users (but perhaps not all) combine their pieces. There are many different motivations for the secret sharing problem. One of the most important is the problem of maintaining sensitive information. There are two crucial issues here: availability and secrecy. If only one person keeps the entire secret, then there is a risk that the person might lose the secret or the person might not be available when the secret is needed. Hence it is often useful to utilize several people in order to access a secret. On the other hand, the more people who can access the secret, the higher the chance the secret will be leaked. By sharing a secret in a threshold scheme the availability and reliability issues can be addressed. The paper by C. Chum, B. Fine and X. Zhang [3] contains a wealth of information on secret sharing schemes in general and managing an access control group.

This paper is organized as follows. We first describe secret sharing protocols and a combinatorial distributions of shares, which are given by D. Panagopoulos in [4] . After introductory definitions we start with a secret sharing scheme using directly the combinatorial distribution of shares. Based on this we present two schemes in which we apply regular Nielsen transformations in connections with faithful representations of free groups and the Nielsen reduction theory. We also modify the secret sharing schemes to a private key cryptosystem and finally Nielsen transformations are used for a public key cryptosystem which is inspired by the ElGamal cryptosystem. The new cryptographic protocols are in the dissertation of A. Moldenhauer [5] under her supervisor G. Rosenb-erger at the University of Hamburg. Thus, parts of this paper are from [5] .

2. Preliminaries for the Newly Developed Cryptographic Protocols

A -secret sharing protocol, with and, is a method to distribute a secret among a group of n participants in such a way that it can be recovered only if at least t of them combine their shares. Hence any group of or fewer participants cannot calculate the secret. The number t is called threshold. The person who distrib- utes the shares is called dealer.

One of the first -secret sharing schemes is introduced by A. Shamir in [6] . It has become the standard method for solving the -secret sharing problem.

A. Shamir uses polynomial interpolation for his -secret sharing scheme. Let be any field and let be t points in with pairwise distinct,. We say a polynomial over interpolates these points if,. A. Shamir’s secret sharing scheme is based on the following theorem.

Theorem 1. [7]

Let be any field and let be t pairwise distinct elements of and let be any elements of. Then there exists a unique polynomial of degree less than or equal to that interpolates the t points,.

A. Shamir’s -secret sharing scheme is roughly this: The dealer chooses a field. The secret S is an element in. The dealer picks a polynomial of degree with the secret S as constant term, that is, , and. He chooses pairwise distinct elements, with for all and distributes to each of the n participants a point as a share. By Theorem 1 any t participants can determine the polynomial (for example with Lagrange interpolation, see [7] ) and hence recover the secret S. If less than t people combine their shares any element in can be the constant term and hence the secret. A. Shamir suggested to use where p is a large prime number.

D. Panagopoulos presents in his paper [4] a -secret sharing scheme using group presentations with solvable word problem. For the secret sharing schemes in the following sections we use a combinatorial distribution of the shares, which is explained in the paper of D. Panagopoulos.

Share distribution method explained by D. Panagopoulos.

To distribute the shares in a -secret sharing scheme the dealer does the follo- wing steps:

1) Calculate, the number of all elements, for example, the participants need to know for the reconstruction of the secret.

2) Let be an enumeration of the subsets of with elements. Define n subsets of the set with the property.

(1)

3) The dealer distributes to each of the n participants one of the sets.

In addition to this share distribution method the new protocols in this paper are based on combinatorial group theory and Nielsen transformations. Therefore, we review some basic definitions concerning regular Nielsen transformations and Nielsen reduced sets (see [8] or [9] ).

Combinatorial group theory is the branch of algebra which studies groups with the help of group presentations. A group presentation for a group G consists of a set X of generators and a set R of defining relators on X. We write.

The group G is called finitely generated if both sets X and R are finite. The newly developed cryptographic protocols use finitely generated free groups. Let F be a finitely generated free group with free generating set, , then the

group F is the set of all reduced words in, which is defined as, where a word is called reduced if it does not contain subwords of the form or,. The identity is considered as the empty word, which is 1. The set of relators for a free group consists only of trivial relators, which are of the form or, with a word in X, thus we denote F by

The empty space on the right symbolized, that there are only trivial relators. For more information about group theory see for instance [8] , [9] or [10] .

Let F be a finitely generated free group on the free generating set, , and let, , with reduced words in X.

Definition 2 An elementary Nielsen transformation on is one of the following transformations.

(T1) replace some by;

(T2) replace some by where;

(T3) delete some where.

In all three cases the for are not changed. A (finite) product of elemen- tary Nielsen transformations is called a Nielsen transformation. A Nielsen transfor- mation is called regular if it is a finite product of the transformations (T1) and (T2), otherwise it is called singular. The set U is called Nielsen-equivalent to the set V, if there is a regular Nielsen transformation from U to V.

Nielsen transformations are a linear technique to study free groups and general infinite groups. In addition the group of all automorphisms of a free group F, denoted by, is generated by a regular Nielsen transformation between two basis of F, and each regular Nielsen transformation between two basis of F defines an automo- rphism of F, see ( [8] , Korollar 2.10).

Definition 3. A finite set U in F is called Nielsen reduced, if for any three elements from the following conditions hold:

(N0);

(N1) implies;

(N2) and implies.

Here denotes the free length of.

Proposition 4. ( [8] , Theorem 2.3) or ( [9] , Proposition 2.2)

If is finite, then U can be carried by a Nielsen transformation into some V such that V is Nielsen reduced.

For the secret sharing schemes based on Nielsen transformations we will only use regular Nielsen transformations. We agree on some notations.

We write if we replace by and we write if we replace by. If we want to apply t-times one after the other the same Nielsen transfo- rmation we write and hence replace by. In all cases the for are not changed.

Corollary 5. ( [8] , Korollar 2.9)

Let F be a free group with basis X and let U be a subset of X which is Nielsen reduced. Then it is

(2)

Especially, if U is also a basis for F, then.

Theorem 6. ( [8] , Satz 2.6)

Let U be Nielsen reduced, then is free on U.

For the next lemma we need some notations. Let be a freely reduced word in X. The initial segment s of w which is “a little more than half” of w (that is,

) is called the major initial segment of w. The minor initial

segment of w is that initial segment which is “a little less than half” of w (that is,

). Similarly, major and minor terminal segments are defined.

If the free length of the word w is even, we call the initial segment s of w, with the left half of w. Analogously, we call the terminal segment of w with the right half of w.

Let be a set of freely reduced words in X, which are not the identity. An initial segment of a w-symbol (that is, of either or, which are different w-symbols) is called isolated if it does not occur as an initial segment of any other w-symbol. Similarly, a terminal segment is isolated if it is a terminal segment of a unique w-symbol.

Lemma 7. ( [10] , Lemma 3.1)

Let be a set of freely reduced words in X with,. Then M is Nielsen reduced if and only if the following conditions are satisfied:

1) Both the major initial and major terminal segments of each are isolated.

2) For each of even free length, either its left half or its right half is isolated.

There are different problems known in combinatorial group Theory, for example:

Theorem 8. ( [8] , Satz 1.9) Isomorphism problem in free groups:

Let X and Y be two sets. Let and be two free groups on X and Y, respectively. The free group G is isomorphic to the free group H if and only if.

Problem 9. Word problem:

Let be a presentation of a group and a given word in X. Determine algorithmically (in finitely many steps) if g represents the identity or not.

A further problem, which is a more general problem than the word problem and is needed for some of the developed cryptographic protocols based on combinatorial group theory, is the membership problem or also called extended word problem.

Problem 10. Membership problem:

Given a recursively presented group G, a subgroup H of G generated by

and an element, determine whether or not.

A related problem (to the membership problem) is the constructive membership problem.

Problem 11. Constructive membership problem:

Given a recursively presented group G, a subgroup H of G generated by and an element, find an expression of h in terms of.

Theorem 12. ( [8] , Satz 1.9) Isomorphism problem in free groups:

Let X and Y be two sets. Let and be two free groups on X and Y, respectively. The free group G is isomorphic to the free group H if and only if.

Furthermore, we introduce a linear congruence generator because it is also used for the cryptosystems in this paper.

For let be the ring of integers modulo n. The corresponding residue class in for an integer is denoted by (see also [1] ).

Definition 13. [1]

Let and. A bijective mapping given by is called a linear congruence generator.

Theorem 14. [1] (Maximal period length for n = 2^{m},)

Let, with, and let such that, with, is a linear congruence generator. Further let be given and, , , .

Then the sequence is periodic with maximal periodic length if and only if the following holds:

1) is odd, consequently.

2) If then.

3) is odd, consequently.

3. A Combinatorial Secret Sharing Scheme

Now we present a -secret sharing scheme, whereby the secret is the sum of the multiplicative inverse of elements in the natural numbers. For the distribution of the shares the dealer uses the method by D. Panagopoulos described in Section 2.

The numbers n and t are given, whereby n is the number of participants and t is the threshold.

1) The dealer first calculates the number.

2) He chooses m elements. From these elements he constructs analogously as in Section 0 the sets. The secret S is the sum

(3)

3) Each participant gets one share,.

If t of the n participants come together they can reconstruct the secret while they first combine their t private sets and get by construction the set.

The secret is the sum of the inverse elements in the set, that is

(4)

This cryptographic protocol is summarized in Table 1 .

If the dealer needs a special secret he gives every participant one more element in each, with

(5)

The participants get by multiplying the reconstructed secret S with x.

Security 15. Each element is exactly contained in subsets. Hence for each the element is not contained in subsets from. As a consequence, is in each union of t subsets. Otherwise, if just arbitrary sets from are combined, there exist a j such that the element is not included in the union of this sets.

Table 1. Summary of the combinatorial -secret sharing scheme.

If just one element is absent, the participants do not get the correct sum S, and hence cannot compute the correct secret.

Remark 16. We realize that the share distribution method by D. Panagopoulos is also given as a special case by M. Ito, A. Saito and T. Nishizeki in [11] . In [5] it is shown that if the method in [11] is used to generate a -secret sharing scheme then the same share distribution method as by D. Panagopoulos is described. M. Ito, A. Saito and T. Nishizeki use a multiple assignment scheme, which is a method to distribute to each participant more than only one share, together with a -secret sharing scheme. Thus, the share distribution method by D. Panagopoulos is a special case of paper [11] .

In addition, in [5] it is shown in detail, that the purely combinatorial secret sharing scheme is very similar to a scheme, which J. Benaloh and J. Leichter obtain if they realize a -secret sharing scheme using minimal CNF-formula, described in their paper [12] .

Remark 17. It is important in terms of practicability, that the dealer calculates and distributes the shares for the participants long before the secret is needed by the participants. Hence, the dealer has enough time to execute the share distribution method and his computational cost should be of no consequence for the cryptographic protocol. If t participants reconstruct the secret, they add up only m elements, which is feasible in linear time.

Example 18. We perform the steps for a -secret sharing scheme. It is and.

The dealer follows the steps:

1) He first calculates.

2) The dealer chooses the numbers, and. The secret is

(a) The six subsets with size 2 of the set are

With help of the the dealer gets the sets and, which contain elements from. He puts the element for which i is not contained in the set for and, into the set, thus it is:

3) The dealer distributes the set to the participant, for.

If three of the four participants come together, they can calculate the secret S. For example the participants and hold the set

and hence get the secret

4. A Secret Sharing Scheme Using a Regular Nielsen Transformation

We use the special linear group over the rational numbers because these numbers can be stored and computed more efficiently on a computer than irrational numbers.

Let F be a free group in of rank. The dealer wants to

The numbers n and t are given, whereby n is the number of participants and t is the threshold. The dealer does the following steps:

(6)

He also needs an explicit free generating set M, that is

(7)

and.

2) With the known matrices in the set M he computes the secret

(8)

is the trace for the matrix, that is,.

If the dealer needs a special secret he can act as in Section 3 described.

3) The dealer constructs the shares for the participants in the following way:

(a) He first applies a regular Nielsen transformation simultaneously for both sets X and M to get Nielsen-equivalent sets U and N to X and M, respectively (see Figure 1).

The elements are words in X and the elements are words in M. Hence, it is.

(b) The dealer now uses the method of D. Panagopoulos to split U and N and to get the shares for the participants with and.

4) The dealer distributes the shares.

If t of the n participants combine their parts they obtain the sets U and N. The secret can be recovered as follows:

1. The participants apply regular Nielsen transformations in a Nielsen reduction manner for U and step by step simultaneously for N. By Proposition 4 they get Nielsen reduced sets and with, see Figure 2.

Because of Corollary 5 it is and, respectively. Hence, differs to just in the position order and inverses. That means the set is the set X up to inverses. The same is true for and. Thus, it is and also with.

The cryptographic protocol is summarized in Table 2 (page 73).

Less than t participants can neither get the whole set U, which is Nielsen-equivalent to X, nor the set N, which is Nielsen-equivalent to M.

For the calculation of the secret, the participants need the set M, because the secret depends on the traces of the matrices. The participants need both sets U and N. If they just have one set U or N they cannot get information about the set M.

If the set U is known, it is only known which Nielsen transformation should be done to get the Nielsen-equivalent set X, but it is unknown on which matrices they should be done simultaneously.

If only the set N is known, then the matrices in are known, but nobody knows which Nielsen transformation should be done on N to get the set M. It is also unknown how many Nielsen transformations were used.

In the book ( [13] , page 247) of J. Lehner a method is given to explicitly obtain a free

Figure 1. Simultaneously regular Nielsen transformations for the dealer.

Figure 2. Simultaneously regular Nielsen transformations for the participants.

Table 2. Summary of the secret sharing scheme using Nielsen transformations and.

Theorem 19. [13] Let F be a free group with countably many free generators. Corresponding to define the matrix

(9)

with such that the following inequalities hold:

(10)

The group G generated by is isomorphic to F.

We now present an example for this secret sharing scheme.

Example 20. We perform the steps for a -secret sharing scheme with the help

of the computer program Maple 16. It is, and hence.

First the Dealer generates the shares for the participants.

He takes an explicit presentation

as above. We first mention that the inequalities (10) hold for

and hence the set of the matrices

is a free generating set for a free group of rank 3.

2) The dealer chooses

and hence the secret is

3) Construction of the shares for the participants:

(a) First the dealer applies regular Nielsen transformations (NTs) simultaneously for both sets X and M to get Nielsen-equivalent sets U and N to X and M, respectively. These transformations are shown in Table 3 (see page 75) and Table 4 (see page 76).

The Dealer obtains the sets

and

(b) He gets the shares for the participants with and as follows:

Table 3. Nielsen transformations (NTs) of the dealer I.

Table 4. Nielsen transformations (NTs) of the dealer II.

i) It is.

ii) The dealer chooses the elements and gets the three sets

With the help of the the dealer gets the sets and which contain elements from the set. He puts the element by which i is not contained in the set for and, into the set..

Now we apply this to U and N to create the share-sets for the participants, respec- tively:

4) The Dealer distributes to each participant a tuple. Participant gets, gets and gets.

Assume the participants and come together to reconstruct the secret. They are able to generate the sets and. The secret can be recovered as follows.

The participants apply regular Nielsen transformations step by step simultaneously for both sets U and N to get and. The steps are shown in the Table 5 (see page 77) and Table 6 (see page 78).

With the knowledge of the set the participants can reconstruct the secret easily. It is

Table 5. Nielsen transformations (NTs) from the participants I.

and hence it is

In general we can use any free matrix group F of rank for a - secret sharing scheme as it is described in this section. The shares can be generated by the above method and are tuples with and. Some other ideas for the secret S are

(11)

(12)

(13)

Table 6. Nielsen transformations (NTs) from the participants II.

5. Another Secret Sharing Scheme Based on Nielsen Transformations

For a -secret sharing scheme the dealer chooses a Nielsen reduced set, with. The are given as words in X. The secret is the sum

(14)

with the length of the word.

The dealer does a regular Nielsen transformation on the set U to get the Nielsen- equivalent set V (see Figure 3).

Each participant, , gets one set, as in the previous secret sharing scheme above.

Figure 3. Regular Nielsen transformation.

If t of the n participants come together to reconstruct the secret, they combine their shares and get the set. They have to find a Nielsen-reduced set to V. They apply Nielsen transformations in a Nielsen reducing manner as described in [8] and [9] , and get from V a Nielsen-reduced set. The secret is the sum

(15)

because for each i it is for some j (see the proof of Corollary 3.1 in [10] ). From we get by permutations and length preserving Nielsen transformations.

This -secret sharing scheme is summarized in Table 7 (page 80).

6. A Symmetric Key Cryptosystem Using Nielsen Transformations

In this section we introduce a symmetric key cryptosystem using Nielsen transfo- rmations. Before Alice and Bob are able to communicate with each other, they have to make some arrangements.

We speak about public parameters also in private key cryptosystems, because these are parameters which each person, also an eavesdropper, Eve, gets, if she looks at the sent ciphertext. Public parameters are also elements, which Alice and Bob communicate with each other publicly. It is also not a secret which plaintext alphabet is used for the communication.

Public Parameters.

They first agree on the following public parameters.

1) A finitely generated free group F with free generating set with.

2) A plaintext alphabet with.

4) A subset of automorphisms of H. It is and the, , pairwise different, are generated with the help of 0-1-sequence (of different length) and random numbers, see ( [5] , Section 4.4).

Table 7. Summary of the -secret sharing scheme using Nielsen transformations together with Nielsen reduced sets and free lengths of certain words.

The set is part of the key space.

5) They agree on a linear congruence generator with a maximal period length.

Private Parameters.

Now, they agree on the private parameters.

1) Alice and Bob choose an explicit Nielsen reduced set U with N elements, which are words in X. Such systems U are easily to construct (see Lemma 7 and Theorem 6 or also [8] and [9] ).

Now, it is a free subgroup of F with rank N. It is the set of all minimal Nielsen reduced sets with N elements in F, which is part of the key space.

2) They use a one-to-one correspondence

(16)

3) Alice and Bob agree on an automorphism, hence is the common secret starting point, with, for the linear congruence generator. With this they are able to generate the sequence (with z the number of the plaintext units, which are letters from A) of automorphisms of the set, which they need for encryption and decryption, respectively.

Remark 21. If the explicit set, word in X, is used, then is a free subgroup of F and with the automorphism with, the set is generated, which is Nielsen equivalent to the set U.

The key space: The set of all minimal (with respect to a lexicographical order) Nielsen reduced set of F with N elements. The set of 2^{128} randomly chosen automorphism of.

Private Key Cryptosystem.

Now, we explain the private key cryptosystem and look carefully at the steps for Alice and Bob.

Public knowledge:, with; plaintext alphabet with; the set; a linear congruence generator h.

Encryption and Decryption Procedure:

1) Alice and Bob agree privately on the private parameters: a set and an automorphism. They also know the one-to-one correspondence between U and A.

2) Alice wants to transmit the message

(17)

with to Bob.

2.1) She generates with the linear congruence generator h and the knowledge of the z automorphisms, which she needs for encryption. It is, , ,.

2.2) The encryption is as follows.

(18)

Recall that the one-to-one correspondence with, for, holds. The ciphertext

(19)

is sent to Bob. The are called the ciphertext units and we do not perform cancell- ations between and and the end of each is marked, , for exa- mple with the symbol “”. On the one hand the ciphertext unit can be seen as a word in U, because the set is Nielsen equivalent to U and, for, is an element in. On the other hand it can be written as a word in X, because the explicit elements in U are words in X and so are the elements in the Nielsen equivalent set to U.

3) Bob gets the ciphertext

(20)

with, , words in X. He knows where each ciphertext unit begins and ends. Hence, he gets the information that he has to use z automorphisms of F from the set for decryption. He has two possibilities for decryption.

3.1.a) With the knowledge of, the set, the linear congruence generator h and the number z, he computes for each automorphism, , the set

(21)

with written as a reduced word in X. Hence, with the one-to-one correspondence between U and A, he gets a one-to-one correspondence between the letters in the alphabet A and the words of the ciphertext depending on the automorphisms. This is shown in Table 8 (page 82).

With the knowledge of the Table 8 (page 82) the decryption is as follows

(22)

He generates the plaintext message

(23)

with, from Alice.

3.1.b) Bob knows the Nielsen reduced set U, hence with an algorithm as for example explained in the book ( [8] , page~33) he is able to write the elements as words in U. With the knowledge of the automorphism, the set, the linear congruence generator h and the number z, he gets the automorphisms which Alice used for encryption of. Because of the fact that a one-to-one correspondence between A and U is used and the ciphertext unit is an image of an element in U under the automorphism, Bob knows with the automorphism and the ciphertext unit written as word in U, the plaintext letter which corres- ponds to the ciphertext unit.

This cryptographic protocol is summarized in Table 9 (page 83).

Table 8. Plaintext alphabet corresponding to ciphertext alphabet depending on the automorphisms.

Remark 22. As soon as Alice and Bob agree on the starting seed automorphism and the Nielsen reduced set U, Bob is able to calculate the first columns of Table 8 (page 82) for decryption (he does not know how many columns he will need because he does not know yet how long the plaintext from Alice will be). If he gets the ciphertext C from Alice, he only has to do a search in the table to get the corresponding plaintext units to

Table 9. Summary of the private key cryptosystem.

the ciphertext units. If columns are missing to decrypt the ciphertext, he calculates the missing columns. Thus, in Version 3.1.a. instead of Version 3.1.b. for decryption Bob is able to do calculations for decryption even before he knows the ciphertext.

Remark 23. The cryptosystem is a polyalphabetic system, that means, a word, and hence a letter, is encrypted differently at different positions in the plaintext, because different automorphisms are used during the encryption procedure for each ciphertext unit. Thus, for the ciphertext, a statistical frequency attack (see for instance [1] ) over the frequency of words, which correspond to letters in the plaintext alphabet, or groups of words, is useless.

It follows an example, in which for decryption a table (see Table 8 (page 82)) is used, which stores the ciphertext alphabet and is generated with the automorphisms Alice uses for encryption, see Example 24.

Additionally, in [5] an example is given, in which Bob knows the Nielsen reduced set U, hence with a known algorithm he is able to write the ciphertext as a sequence of words in U. With the automorphisms Alice uses for encryption he is able to decrypt the ciphertext correctly.

Example 24. This example was executed in GAP^{1}. All details are given in Appendix A. Firstly, Alice and Bob agree on public parameters.

1) Let F be the free group on the free generating set.

2) Let be the plaintext alphabet.

4) A set is determined. In this example we give the automorphisms, which Alice and Bob use for encryption and decryption, respectively, just at the mom- ent when they are needed.

5) The linear congruence generator with maximal periodic length is

The private parameters for this example are the following:

1) Let be the explicit finitely generated free group, which is generated with the free generating set with words in X, for this example it is

The starting automorphism is, hence it is. It is known, that, , for and, therefore.

We now look at the encryption and decryption procedure for Alice and Bob.

2) With the above agreements Alice is able to encrypt her message

Her message is of length 4. She generates the ciphertext as follows:

2.1) First, she determines, with the help of the linear congruence generator with and the starting seed, the four automorphisms, , which she needs for encryption. It is

The automorphisms are describable with the help of regular Nielsen transformations, it is

,

,

the Nielsen transformations are applied from the left to the right.

2.2) Secondly, she encrypts her message. The ciphertext is

The ciphertext C is written as words in X, it is

3) Bob gets the ciphertext

from Alice. Thus, he knows that he needs 4 automorphisms for decryption.

3.1) Bob knows the set U, the linear congruence generator h and the starting seed automorphism. For decryption he uses tables like Table 8 (page 82).

Now, he is able to compute for each automorphism the set, , and to generate Table 10 (page 86) and Table 11 (page 87).

With these tables he is able to reconstruct the plaintext from Alice. He searches for the plaintext element the ciphertext unit in the column, , and hence gets the alphabet letter for a. Therefore, he decrypts the ciphertext to the message.

Table 10. Correspondence: Plaintext alphabet to ciphertext alphabet I.

Table 11. Correspondence: Plaintext alphabet to ciphertext alphabet II.

Security 25. The cryptosystem is a polyalphabetic system, that means, a word, and hence a letter, is encrypted differently at different positions in the plaintext, because different automorphisms are used during the encryption procedure for each ciphertext unit. Thus, for the ciphertext, a statistical frequency attack (see for instance [1] ) over the frequency of words, which correspond to letters in the plaintext alphabet, or groups of words, is useless.

The security depends on the fact, that the set U is private. Note, that the ciphertext units are elements in, with. An eavesdropper, Eve, knows that the elements of the set U, which where used for the encryption, can be found in the ball of the Cayley graph from F, with

(24)

and ciphertext units of an intercepted ciphertext

(25)

The symbol “” marks the end of each ciphertext unit,.

Let

(26)

be the set of ciphertext units and let be a Nielsen reduced set of, hence the

group, generated by, is a free subgroup of and. The

main security certification depends on the fact, that for a single subset V of with K elements Eve finds a Nielsen reduced set in the running time, with the maximum over the free length of the elements in the subset V with K primitive elements, but she has to test all possible subsets of K elements for which she needs exponential running time, because the number of primitive elements grows exponen- tially with the free length, here with. She searches in a ball, with for these primitive elements.

A subset of V is also known, it is but she has to put all other primitive elements to this set and proves if, which is Nielsen reduced to V, is of order N and

hence a candidate for U.

A more detailed cryptographical analysis can be found in [5] and there are also three modifications given, which are summarized as follows:

1) We present a modification where the ciphertext is only one reduced word in X instead of a sequence of words, in this case it is possible that additional information is needed for decryption, thus these are sent with the ciphertext if required. The ciphertext can be interpreted as words in X and as words in U, thus the additional information could be given about the ciphertext written as a word in U or as a word in X.

Security: The security certification is extended to the fact that Eve is in general not able to identify the beginning and end of a ciphertext unit,. There could also be cancellations, which she is not able to recognize. Eve is neither able to determine the number because she does not know what the ciphertext units exactly look like, nor is she able to generate the set. This worsens her attacks of the unmodified cryptographic protocol above.

2) We present a modification, which uses a faithful representation from F into the special linear group such that the ciphertext is a sequence of matrices in. Furthermore, a variation can be used, where the ciphertext is not a sequence of matrices but a sequence of entries of matrices. This reduces the space for the ciphertext and the memory space for the decryption table.

Security: The security certification is extended to the fact, that there is no algorithm known to solve the (constructive) membership problem for (discrete) free subgroups of which are of rank greater than or equal to 2 and not subgroups of, see [15] . Therefore, the attack which uses a Cayley graph and automorphisms of in the unmodified cryptographic protocol is not realizable in this modification.

3) We present a modification, which utilizes the negative solution of Hilbert's Tenth Problem. Instead of a presentation of the ciphertext as a sequence of matrices in the ciphertext is represented as a sequence of matrices in with, the integral polynomial ring in variables. Here we get two subcases, the first applies the modification with Hilbert's Tenth Problem on a text given as a sequence of words in X and the second applies it to a text given as a sequence of words in U.

Security: The security certification is extended to Hilbert’s Tenth Problem. In addition the security is improved by the fact, that for each encryption Alice and Bob can take privately ephemeral matrices in, , with the property that the common private point generates the correct matrices in. This gives randomness to ciphertexts, which complicates attacks for Eve. The attack which uses a Cayley graph and automorphisms of in the unmodified cryptographic protocol is not realizable in this modification.

Remark 26. In [5] are two more private key cryptosystems given, which use finitely generated free groups, Nielsen transformations and automorphisms on finitely generated free group. The first one uses automorphisms on F instead of a subgroup of F, as in the above described private key cryptosystem. It also has three modifications, which use the ideas for the modifications above. The second protocol uses automo- rphisms on plaintext units and in addition randomly chosen ephemeral keys (matrices of), which give randomness to the ciphertexts.

7. Cryptosystem with Nielsen Transformation Inspired by the ElGamal Cryptosystem

Now we describe a public key cryptosystem for Alice and Bob which is inspired by the ElGamal cryptosystem (see [16] or ( [2] , Section 1.3)), based on discrete logarithms, that is:

1) Alice and Bob agree on a finite cyclic group G and a generating element.

2) Alice picks a random natural number a and publishes the element.

3) Bob, who wants to send a message to Alice, picks a random natural number b and sends the two elements and, to Alice. Note that.

4) Alice recovers.

For the new public key cryptosystem in this section let, , be the free generating set of the finitely generated free group. It is. The message is an element, denotes the set of all freely reduced words with letters in. Public are the free group F, its free generating set X and an element. The automorphism f, given as a Nielsen transformation or a Whitehead-Automorphism (see for instance the book [17] ), should be chosen randomly, an approach is given in ( [5] , Section 4.4).

An ElGamal like public key cryptosystem, with public parameters determined by Alice, is now as follows:

Public parameters: The finitely generated free group, a freely reduced word in the free group F and an automorphism of infinite order.

Encryption and Decryption Procedure:

1) Alice chooses privately a natural number n and publishes the element.

2) Bob picks privately a random and his message. The number t is an ephemeral key for this message, he changes t for each message m, because of Remark 27. He calculates the freely reduced elements

(27)

He sends the ciphertext to Alice.

3) Alice calculates

(28)

and gets the message m.

The ElGamal like public key cryptosystem is summarized in Table 12 (page 90).

Remark 27. It is important that different random ephemeral keys t are used to encrypt different messages. As it is for the standard ElGamal cryptosystem (see [18] ). Suppose that Bob uses the same ephemeral key t to encrypt two messages and and assume that is known. The ciphertext pairs are and, with, and. Eve only has to calculate to get the message.

Security 28. A possible attacker, Eve, can see the elements. She does not know the free length of m and the cancellations between m and in. It could be possible that m is completely canceled by the first letters of. Hence, she cannot determine m from the given. Eve just sees words, and,

Table 12. Summary of the ElGamal like public key cryptosystem using automorphisms on a finitely generated free group F.

in the free generating set X from which it is unlikely to realize the exponents n and t, that is, the private keys from Alice and Bob, respectively. The security is based on the Diffie-Hellman problem and discrete logarithm problem in cyclic subgroups of automorphisms in free groups.

Variation 29. We give some ideas to enhance the security, they can also be combined:

1) The element could be taken as a common private secret between Alice and Bob. They could use for example the Anshel-Anshel-Goldfeld key exchange protocol (see for instance [2] ) to agree on the element a.

2) Alice and Bob agree on a faithful representation from F into the special linear group

of all matrices with entries in, that is,. Now, and Bob sends the element instead of; c and remain the same. Therefore, Alice calculates and hence the message. This variation in addition extends the security certification to the constructive membership problem in the matrix group (see [15] ).

We now explain this variation in more details.

Alice needs a faithful representation of into such that

(29)

(30)

Thus, each has at least one entry which is an element in.

(a) The public element from Alice is as before, with private key.

(b) Bob chooses privately a message, a random and calculates

as before. After this he computes

and writes it as a word in Y whereby he used the assignment for. We denote as when is written as a word in Y. The element is a reduced word in Y. Bob’s element is now a reduced word in. He applies the faithful representation g on this element. It is

(31)

Instead of he sends to Alice.

(c) Firstly, Alice calculates and hence gets the same element as

Bob, because

(32)

Secondly, she writes as a word in Y, thus she gets. Thirdly, she uses the faithful representation g to calculate and together with she gets

(33)

She gets a matrix in and she knows that this matrix is a word in the letters of, , hence there is an algorithm (see for instance [8] ) to write as a word in and therefore as a word in X. Thus, she is able to recon-struct m.

An eavesdropper, Eve, gets a matrix and she is not able to write it as a word in the set (because there is no algorithm known to solve the constructive membership problem in a (discrete) free subgroup of of rank greater than or equal to 2 (see [15] ), which is not in). Thus, she cannot get the situation as in the cryptosystem without the faithful representation g into. There is no hint for the message m, instead of the system above in which it is possible that an initial segment of m is visible whereby Eve does not know how long this initial segment is and if it is relay visible. Thus, this variation extends the security certification to the constructive membership problem in the matrix group.

We now end this section with an example.

Example 30. This example, is a very small one and it is just given for illustration purposes. The calculations were done with GAP, see Appendix B. Bob wants to send a message to Alice.

The public parameters are the free group F of rank 3 with free generating set, the freely reduced word, with and the automor- phism, which is given, for this example, by the regular Nielsen transform- ation:, thus, it is:

1) Alice’s private key is. Thus, she gets the automorphism

Her public key is

2) Bob privately picks the ephemeral key and gets the automorphism

His message for Alice is. He calculates

and

The ciphertext for Alice is the tuple.

3) Alice first computes

and gets m by

8. Conclusions

A. Shamir’s secret sharing protocol (see [6] ) has become the standard method for solving the -secret sharing problem. The introduced secret sharing schemes are of mathematical interest.

In contrast to other secret sharing schemes the part for the participants at the combinatorial secret sharing scheme, see Section 3, is very easy, they only have to add up m elements. The (time) expensive part is the part of the dealer, who has to generate the sets for the participants. In contrast to Shamir's scheme, where the part of the dealer is the easier one and the participants have to do polynomial interpolation to reconstruct the secret.

The secret sharing scheme of Section 4 uses combinatorial group theory, especially Nielsen transformations and finitely generated free groups. It is mathematically a very interesting cryptographic protocol, which serves very good as a basis to develop other cryptographic protocol. In addition the secret sharing scheme of Section 5 is also a mathematically very interesting cryptographic protocol. Both secret sharing schemes are the basis for the newly developed cryptosystems.

In comparison to the standard cryptosystems which are mostly based on number theory we explained two cryptosystems which use combinatorial group theory. The first cryptosystem in Section 6 is a kind of a one-time pad, which choice of the random sequence for encryption is not number-theoretic. Especially the modifications with matrices are of interest for cryptography. If the symmetric key cryptosystem is used together with the second modification, which uses a faithful representation into, then the system is secure and the security depends on the unknown solution of the (constructive) membership problem in the used matrix groups. If it is used together with the third modification, which uses matrices in, , , then the system is secure and the security depends in addition on the negative solution of Hilbert’s Tenth Problem. Moreover, we get also randomness to each ciphertext by the ephemeral matrices which the encrypter used for encryption. To generate these ephemeral matrices he only needs the common secret point, this improves also the security. Altogether, we get interesting new private key cryptosystems, which use non-commutative groups and are based on combinatorial group theory and not only on number theory. They provide other options for private key cryptosystems which are based on combinatorial group theory. The second cryptosystem in Section 7 is similar to the ElGamal cryptosystem (see [16] ), which is easier to handle. The ElGamal cryptosystem is based on the discrete logarithm problem over a finite field. If this problem should eventually be solved we introduced here an alternative system, which is not based on number theory.

For further research one could search for other cryptographic protocols, which can be based on Nielsen transformations, for example a public key cryptosystem which is not ElGamal like or a key exchange protocol. There is no algorithm known to solve the (constructive) membership problem for (discrete) free subgroups of rank equal or greater than 2 in. Thus, the following questions appear: Are there quantum algorithms for solving the (constructive) membership problem in? Are there quantum algorithms for solving other problems in combinatorial group theory, which are used in cryptography?

Appendix

We now give the computer code in GAP^{2} for Example 24 and Example 30. Therefore we use the FGA^{3} package in GAP and also Nielsen transformations.

If there are Nielsen transformations of type one after another we can do them in one step. For example if the Nielsen transformations are applied to a set we write instead of

the following

A. Calculations in GAP for Example 24

Alice and Bob use the free group, with free generating set, and the explicit free subgroup of F with free generating set, words in X, they choose

In GAP they define

LoadPackage("FGA");;

F:=FreeGroup("x", "y", "z");;

AssignGeneratorVariables(F);;

u1:=x*y*z;;

u2:=y*z*y^-1;;

u3:=x^-1*z*x^-1;;

u4:=y^-1*x^2;;

u5:=z^-1*x*y*x;;

u6:=z^-1*y*x^-1;;

u7:=x^3*y;;

u8:=y^3*z^-2;;

FU:=Group(u1, u2, u3, u4, u5, u6, u7, u8);;

and prove that U is a Nielsen reduced set with the operation

> FreeGeneratorsOfGroup(FU)

which gives a Nielsen reduced generator set for the group FU:

gap> Free Generators Of Group (FU);

[x*y*z, y*z*y^-1, x^-1*z*x^-1, y^-1*x^2, z^-1*x*y*x,\

z^-1*y*x^-1, x^3*y, y^3*z^-2 ]

Alice knows the linear congruence generator h hence she can get the 4 required automorphisms of the set to encrypt her message.

These automorphisms are describable with Nielsen transformations as follows:

Automorphism:

Hence, the automorphism is

Automorphism:

Hence, the automorphism is

Automorphism:

Hence, the automorphism is

Automorphism:

Hence, the automorphism is

In GAP she defines for the automorphisms:

#Automorphism f_{u_1}

u11:=u1*u7*u2*u4;;

u12:=u2*u4*u3*u4^2;;

u13:=u3*u4^2;;

u14:=u4*u6*u5^-1*u1*u7;;

u15:=u5^-1*u1*u7;;

u16:=u6*u3*u4^2;;

u17:=u6^-1*u4^-1*u7*u8;;

u18:=u8*u1*u7;;

#Automorphism f_{u_2}

u21:=u3^-1*u1^-1*u2*u4;;

u22:=u2^-1*u8*u6*u5;;

u23:=u3*u5*u4^-2;;

u24:=u2*u4*u7*u6*u5;;

u25:=u5*u2^-1*u6*u5;;

u26:=u6*u5*u2*u4;;

u27:=u7*u6*u5;;

u28:=u8*u4^-1*u2^-1;;

#Automorphism f_{u_3}

u31:=u1*u2^-1*u7^-1*u3^-1*u8;;

u32:=u2^-1*u3*u7;;

u33:=u3*u7*u4*u8^-2;;

u34:=u4*u8^-2;;

u35:=u5^-1*u6*u3;;

u36:=u6*u2^3*u7;;

u37:=u7*u4*u8^-2;;

u38:=u7^-1*u3^-1*u8;;

#Automorphism f_{u_4}

u41:=u4*u3*u1;;

u42:=u3*u2^-1*u4*u3;;

u43:=u4*u3*u5*u2*u3^-1;;

u44:=u4^-1*u5*u2*u3^-1;;

u45:=u5*u2*u3^-1;;

u46:=u6*u2*u4*u3*u1;;

u47:=u7*u4^-1*u3*u2^-1;;

u48:=u8*u2^3*u3^-1*u4^-1;;

Hence, to get the ciphertext

as a word in X, she calculates in GAP:

gap > u11;

x*y*z*x^3*y^2*z*y^-2*x^2

gap> u24;

y*z*y^-2*x^5*y*z^-1*y*x^-1*z^-1*x*y*x

gap> u37;

x^5*(z^2*y^-3)^2

gap> u42;

x^-1*z*x^-1*y*z^-1*y^-2*x*z*x^-1

Thus, the ciphertext is

and this is sent to Bob.

For decryption Bob calculates the tables Table 10 (page 86) and Table 11 (page 87). For this he chooses the automorphisms in, which Alice also used. In GAP it is:

gap> u11; u12; u13; u14; u15; u16; u17; u18;

x*y*z*x^3*y^2*z*y^-2*x^2

y*z*y^-2*x*z*x^-1*(y^-1*x^2)^2

x^-1*z*x^-1*(y^-1*x^2)^2

y^-1*x^2*z^-1*y*x^-2*y^-1*x^-1*z*x*y*z*x^3*y

x^-1*y^-1*x^-1*z*x*y*z*x^3*y

z^-1*y*x^-2*z*x^-1*(y^-1*x^2)^2

x*y^-1*z*x^-2*y*x^3*y^4*z^-2 y^3*z^-2*x*y*z*x^3*y

gap> u21; u22; u23; u24; u25; u26; u27; u28;

(x*z^-1)^2*y^-1*x^-1*y*z*y^-2*x^2

y*z^-1*y^2*z^-3*y*x^-1*z^-1*x*y*x

x^-1*z*x^-1*z^-1*x*(y*x^-1)^2*x^-1*y

y*z*y^-2*x^5*y*z^-1*y*x^-1*z^-1*x*y*x z^-1*(x*y)^2*z^-1*y^-1*z^-1*y*x^-1*z^-1*x*y*x z^-1*y*x^-1*z^-1*(x*y)^2*z*y^-2*x^2

x^3*y*z^-1*y*x^-1*z^-1*x*y*x

y^3*z^-2*x^-2*y^2*z^-1*y^-1

gap> u31; u32; u33; u34; u35; u36; u37; u38;

x*y*z*y*z^-1*y^-2*x^-2*z^-1*x*y^3*z^-2

y*z^-1*y^-1*x^-1*z*x^2*y

x^-1*z*x^4*(z^2*y^-3)^2

y^-1*x^2*(z^2*y^-3)^2

x^-1*y^-1*x^-1*y*x^-2*z*x^-1

z^-1*y*x^-1*y*z^3*y^-1*x^3*y

x^5*(z^2*y^-3)^2

y^-1*x^-2*z^-1*x*y^3*z^-2

gap> u41; u42; u43; u44; u45; u46; u47; u48;

y^-1*x*z*y*z

x^-1*z*x^-1*y*z^-1*y^-2*x*z*x^-1

y^-1*x*z*x^-1*z^-1*(x*y)^2*z*y^-1*x*z^-1*x x^-2*y*z^-1*(x*y)^2*z*y^-1*x*z^-1*x

z^-1*(x*y)^2*z*y^-1*x*z^-1*x

z^-1*y*x^-1*y*z*y^-2*x*z*y*z

x^3*y*x^-2*y*x^-1*z*x^-1*y*z^-1*y^-1

y^3*z^-2*y*z^3*y^-1*x*z^-1*x^-1*y

With this information Bob is able to reconstruct the message.

B. Calculations in GAP for Example 30

Alice defines the public parameters.

Let be the free generating set for a free subgroup of rank 3:

LoadPackage("FGA");;

F:=FreeGroup("x", "y", "z");;

AssignGeneratorVariables(F);;

Additionally she defines the freely reduced word and describes the automorphisms f with the following regular Nielsen transformation

hence the automorphism is

and she defines in GAP:

x1:=x*y^2;;

y1:=z^(-1);;

z1:=y^(-1)*z^(-1);;

Alice chooses as private key, hence she must calculate the automorphism. For this she calculates in GAP:

#Calculate automorphism f^2=f^1(f^1)

x2:=x1*y1^2;;

y2:=z1^(-1);;

z2:=y1^(-1)*z1^(-1);;

gap> x2; y2; z2;

x*y^2*z^-2

z*y

z^2*y

#Calculate automorphism f^3=f^1(f^2)

x3:=x2*y2^2;;

y3:=z2^(-1);;

z3:=y2^(-1)*z2^(-1);;

gap> x3; y3; z3;

x*y^2*z^-1*y*z*y

y^-1*z^-2

(y^-1*z^-1)^2*z^-1

#Calculate automorphism f^5=f^2(f^3)

x5:=x3*y3^2*z3^(-2);;

y5:=z3*y3;;

z5:=z3^2*y3;;

gap> x5; y5; z5;

x*y^2*z^-1*y^2*z*(z*y)^2

y^-1*(z^-1*y^-1*z^-1)^2*z^-1

((y^-1*z^-1)^2*z^-1)^2*y^-1*z^-2

#Calculate automorphism f^7=f^2(f^5)

x7:=x5*y5^(2)*z5^(-2);;

y7:=z5*y5;;

z7:=z5^2*y5;;

gap> x7; y7; z7;

x*y^2*z^-1*y*(y*z)^2*(z*y*z^2*y)^2*z*y y^-1*((z^-1*y^-1*z^-1)^2*y^-1*z^-1)^2*z^-1*y^-1*z^-2 (((y^-1*z^-1)^2*z^-1)^2*y^-1*z^-2)^2*y^-1*(z^-1*y^-1*z^-1)^2*z^-1

Thus, the automorphism is

Her public key is:

c:=x7^2*y7*z7^(-2)*y7;;

gap> c;

(x*y^2*z^-1*y*(y*z)^2*(z*y*z^2*y)^2*z*y)^2*(z^2*y)^2*\ ((z*y*z)^2*y*z)^2*z*y*z^2*y*z^-1

Bob is now able to send a message to Alice. Let be the message for Alice. He chooses the ephemeral key and hence calculates the automorphism in GAP as follows:

m:=z^-2*y^2*z*x^2*y^-1*x^-1;;

#Calculate automorphism f^2=f^1(f^1)

x2:=x1*y1^2;;

y2:=z1^(-1);;

z2:=y1^(-1)*z1^(-1);;

gap> x2; y2; z2; x*y^2*z^-2 z*y z^2*y

#Calculate automorphism f^3=f^1(f^2)

x3:=x2*y2^2;;

y3:=z2^(-1);;

z3:=y2^(-1)*z2^(-1);;

gap> x3; y3; z3;

x*y^2*z^-1*y*z*y

y^-1*z^-2

(y^-1*z^-1)^2*z^-1

#Calculate automorphism f^5=f^2(f^3)

x5:=x3*y3^2*z3^(-2);;

y5:=z3*y3;;

z5:=z3^2*y3;;

gap> x5; y5; z5;

x*y^2*z^-1*y^2*z*(z*y)^2

y^-1*(z^-1*y^-1*z^-1)^2*z^-1

((y^-1*z^-1)^2*z^-1)^2*y^-1*z^-2

Hence, the automorphism is

He now calculates his ciphertext for Alice with and in GAP:

#c22:=f^5(c)

c22:=(x5*y5^2*z5^(-1)*y5*(y5*z5)^2*(z5*y5*z5^2*y5)^2*z5*y5)^2*\ (z5^2*y5)^2*((z5*y5*z5)^2*y5*z5)^2*z5*y5*z5^2*y5*z5^(-1);;

c1:=m*c22;;

gap> c1;

z^-2*y^2*z*x^2*(y*z^-1)^2*((z^-1*y^-1*z^-2*y^-1)^2\ *z^-2*y^-1)^2*(z^-1*y^-1*z^-1)^2*z^-1*y^-1*((((z^-\ 1*y^-1*z^-1)^2*y^-1*z^-1)^2*z^-1*y^-1*z^-1*y^-1*z^\ -1)^2*(z^-1*y^-1*z^-2*y^-1)^2*z^-1*y^-1*z^-1)^2*((\ z^-1*y^-1*z^-2*y^-1)^2*z^-2*y^-1)^2*(z^-1*y^-1*z^-\ 1)^2*z^-1*x*y^2*z^-1*y*(z^-1*(((z^-1*y^-1*z^-2*y^-\ 1)^2*z^-2*y^-1)^2*(z^-1*y^-1*z^-1)^2*z^-1*y^-1)^3*\ (z^-1*y^-1*z^-1)^2*y^-1*z^-1*((z^-1*y^-1*z^-2*y^-1\

)^2*z^-2*y^-1)^2*(z^-1*y^-1*z^-1)^2*y^-1)^3*z^-1*(\ (z^-1*y^-1*z^-2*y^-1)^2*z^-2*y^-1)^2*(z^-1*y^-1*z^-1)^2*\

y^-1*z^-1*y

#c2:=f^5(a)

c2:=x5^2*y5*z5^(-2)*y5;;

gap> c2;

(x*y^2*z^-1*y^2*z*(z*y)^2)^2*z^2*y*(z*y*z)^2*z*y*z^-1

Bob sends to Alice. Alice gets the message m by calculating

In GAP she computes:

#dc:=f^7(c2)

dc:=(x7*y7^2*z7^(-1)*y7^2*z7*(z7*y7)^2)^2*z7^2*y7*\ (z7*y7*z7)^2*z7*y7*z7^(-1);;

gap> dc;

(x*y*(y*z^-1)^2*((z^-1*y^-1*z^-2*y^-1)^2*z^-2*y^-1\

)^2*(z^-1*y^-1*z^-1)^2*z^-1*y^-1*((((z^-1*y^-1*z^-\ 1)^2*y^-1*z^-1)^2*z^-1*y^-1*z^-1*y^-1*z^-1)^2*(z^-\ 1*y^-1*z^-2*y^-1)^2*z^-1*y^-1*z^-1)^2*((z^-1*y^-1*\ z^-2*y^-1)^2*z^-2*y^-1)^2*(z^-1*y^-1*z^-1)^2*z^-1)\ ^2*y^-1*(((z^-1*y^-1*z^-1)^2*y^-1*z^-1)^2*z^-1*y^-\ 1*z^-1*y^-1*z^-1)^2*(z^-1*y^-1*z^-2*y^-1)^2*z^-1*y\ ^-1*z^-1*((((z^-1*y^-1*z^-2*y^-1)^2*z^-2*y^-1)^2*(\ z^-1*y^-1*z^-1)^2*z^-1*y^-1)^2*((z^-1*y^-1*z^-1)^2\ *y^-1*z^-1)^2*z^-1*y^-1*z^-2*y^-1)^2*(((z^-1*y^-1*\ z^-1)^2*y^-1*z^-1)^2*z^-1*y^-1*z^-1*y^-1*z^-1)^2*(\ z^-1*y^-1*z^-2*y^-1)^2*z^-1*y^-1*z^-1*y

gap> dc^-1;

y^-1*(((((z*y)^2*z)^2*z*y*z)^2*z*y*(z*y*z)^2)^2*z*\ y*((z*y*z)^2*y*z)^2*z*y*z)^2*(z*y*(((z*y*z)^2*y*z)\ ^2*z*y*z*y*z)^2*(z*y*z^2*y)^2*z)^2*y*(((((z^2*y)^2\ *z*y)^2*z^2*y*z*y)^2*z*(z*y*z^2*y)^2*z*y)^2*z*(z*y\ *z^2*y)^2*z^2*y*(((z*y*z)^2*y*z)^2*z*y*z*y*z)^2*(z\ *y*z^2*y)^2*z*(z*y^-1)^2*y^-1*x^-1)^2

gap> c1*dc^-1;

z^-2*y^2*z*x^2*y^-1*x^-1

Finally, she reconstructs the correct message

NOTES

^{1}Groups, Algorithms and Programming [14] .

^{2}Groups, Algorithms and Programming [14] .

^{3}Free Group Algorithms. A GAP4 Package by Christian Sievers, TU Braunschweig.

Conflicts of Interest

The authors declare no conflicts of interest.

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