Abstract
Experiencing repeated computer virus attacks over the last decade has led to a number of intriguing technological challenges. The study of human immunology may help to solve these challenges and aid in the understanding of how and why computer viruses propagate. Current techniques employ heuristic systems to ferret the viral attacks and annihilate them. This technology is more suited for addressing known viruses and has been relatively successful. However, there remains a challenge as to how to deal with the virus problems of the near future, albeit unknown viral code. Ultimately, this paper will stimulate new innovations in anti-virus technology. This paper explores current research in the area of protection from computer viruses and suggests a possible framework for virus detection in such an autoimmune system. Hence, this paper exposes the mechanics of virus detection in the human immune system. Then it suggests techniques that could be used to identify or detect unknown viruses by distinguishing between “self” and foreigner.
Keywords
- Virtual Machine
- Intrusion Detection
- Mobile Agent
- Intelligent Agent
- Intrusion Detection System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2002 Springer-Verlag Berlin Heidelberg
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Deeb, K., Lewis, S. (2002). A Biological Approach to the Development of Computer Autoimmune Systems. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_55
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DOI: https://doi.org/10.1007/3-540-48050-1_55
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