Generating Rule-Based Signatures for Detecting Polymorphic Variants Using Data Mining and Sequence Alignment Approaches

Journals Menu

Follow SCIRP

ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.org/journal/jis
E-mail: jis@scirp.org

"Generating Rule-Based Signatures for Detecting Polymorphic Variants Using Data Mining and Sequence Alignment Approaches"
written by Vijay Naidu, Jacqueline Whalley, Ajit Narayanan,
published by Journal of Information Security, Vol.9 No.4, 2018

has been cited by the following article(s):

[1]	AutoCombo: Automatic malware signature generation through combination rule mining
	Proceedings of the 30th ACM International …, 2021

[2]	Using Amino Acids of Images for Identifying Pornographic Images
	2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019

[3]	Defeating Fake Food Labels Using Watermarking and Biosequence Analysis
	2019

[4]	Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques
	2018

[1]	AutoCombo Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021 DOI:10.1145/3459637.3481896

[2]	AutoCombo Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021 DOI:10.1145/3459637.3481896

[3]	Using Amino Acids of Images for Identifying Pornographic Images 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019 DOI:10.1109/MIPR.2019.00010

[4]	Defeating Fake Food Labels Using Watermarking and Biosequence Analysis 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2019 DOI:10.1109/TrustCom/BigDataSE.2019.00065

Follow SCIRP