The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures
Joint Authors
Narayanan, Ajit
Chen, Yi
Pang, Shaoning
Tao, Ban
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The continuous growth of malware presents a problem for internet computing due to increasingly sophisticated techniques for disguising malicious code through mutation and the time required to identify signatures for use by antiviral software systems (AVS).
Malware modelling has focused primarily on semantics due to the intended actions and behaviours of viral and worm code.
The aim of this paper is to evaluate a static structure approach to malware modelling using the growing malware signature databases now available.
We show that, if malware signatures are represented as artificial protein sequences, it is possible to apply standard sequence alignment techniques in bioinformatics to improve accuracy of distinguishing between worm and virus signatures.
Moreover, aligned signature sequences can be mined through traditional data mining techniques to extract metasignatures that help to distinguish between viral and worm signatures.
All bioinformatics and data mining analysis were performed on publicly available tools and Weka.
American Psychological Association (APA)
Narayanan, Ajit& Chen, Yi& Pang, Shaoning& Tao, Ban. 2013. The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1012697
Modern Language Association (MLA)
Narayanan, Ajit…[et al.]. The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures. The Scientific World Journal No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1012697
American Medical Association (AMA)
Narayanan, Ajit& Chen, Yi& Pang, Shaoning& Tao, Ban. The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1012697
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012697