An immune-based model for computer virus detection

Tao Li, Xiaojie Liu, Hongbin Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

Inspired by biological immune systems, a new immune-based model for computer virus detection is proposed in this paper. Quantitative description of the model is given. A dynamic evolution model for self/nonself description is presented, which reduces the size of self set. Furthermore, an evolutive gene library is introduced to improve the generating efficiency of mature detectors, reducing the system time spending, false-negative and false-positive rates. Experiments show that this model has better time efficiency and detecting ability than the classical model ARTIS.

Original languageEnglish
Title of host publicationCryptology and Network Security - 4th International Conference, CANS 2005, Proceedings
Pages59-71
Number of pages13
DOIs
StatePublished - 2005
Event4th International Conference on Cryptology and Network Security, CANS 2005 - Xiamen, China
Duration: 14 Dec 200516 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3810 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Cryptology and Network Security, CANS 2005
Country/TerritoryChina
CityXiamen
Period14/12/0516/12/05

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