Design of Quantification Model for Ransom Ware Prevent

Donghyun Kim, Seoksoo Kim

Department of Multimedia, Hannam Universiciy, Daejeon, Korea.

DOI: 10.4236/wjet.2015.33C030                

Abstract

The growth of ICT within the society has become increasingly digitized, thus, the overall activity has amounted to various researches for protecting any data from malicious threats. Recently, ransomware has been a rapidly propagated subject for social engineering techniques especially the ransomware. Users can delete a ransomeware code using an antivirus software code. However, the encrypted data would be impossible to recover. Therefore, ransomware must be prevented and must have early detection before it infects any data. In this paper, we are proposing a quantification model to prevent and detect any cryptographic operations in the local drive.

Keywords

Ransom Ware, Quantification Model, Prevent, Cryptolocker

Conflicts of Interest

The authors declare no conflicts of interest.

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