Devising a Biological Model to Detect Polymorphic Computer Viruses Artificial Immune System (AIM): Review

Author

Abdulla, Saman Mirza ; Zakaria, Omar

Author_Institution

Fac. of Comput. Sci., IT Univ. of Malaya, Kuala Lumpur, Malaysia

Volume

1

fYear

2009

fDate

13-15 Nov. 2009

Firstpage

300

Lastpage

304

Abstract

Currently, in most virus detection techniques the signature recognition process of unknown viruses are challenging task. The process has become more difficulties after the complexities of the viruses´ structure have developed, as in the Polymorphic computer viruses. This paper reviews and then explains some used techniques to detect the known polymorphic viruses. Besides, the paper contains the review of some biological models for virus detection. Finally, a new biological model for detecting polymorphic viruses is suggested.

Keywords

artificial intelligence; computer viruses; genetic algorithms; artificial immune system; computer virus detection; polymorphic virus; signature recognition process; Artificial immune systems; Biological system modeling; Biology computing; Capacitive sensors; Computer science; Computer viruses; Emulation; Humans; Immune system; Viruses (medical); Artificial Immune System; Immune System; Polymorphic Viruses;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Technology and Development, 2009. ICCTD '09. International Conference on

Conference_Location

Kota Kinabalu

Print_ISBN

978-0-7695-3892-1

Type

conf

DOI

10.1109/ICCTD.2009.54

Filename

5359677