Title :
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
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;
Conference_Titel :
Computer Technology and Development, 2009. ICCTD '09. International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-0-7695-3892-1
DOI :
10.1109/ICCTD.2009.54
