Abstract
There have been many researches in Computer Science that their fundamental ideas were based on Biology. Genetic algorithm and neural network are best-known paradigms in this category. Recently, many ideas from immune system have been used in detecting computer virus and worm. Since the first computer virus has been found, scanning detection has been used as a primarily method in virus detection systems. As computer viruses and worms become more complex and sophisticated, the scanning detection method is no longer able to detect various forms of viruses and worms effectively. Many anti-virus researchers proposed various detection methods including artificial immune system to cope with these characteristics of computer viruses and worms. This paper discusses the principle of artificial immune system and proposes artificial immune based virus detection system that can detect unknown viruses.
This work was supported by grant No. (R05-2003-000-11235-0) from the Basic Research Program of the Korea Science & Engineering Foundation
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Lee, H., Kim, W., Hong, M. (2004). Biologically Inspired Computer Virus Detection System. In: Ijspeert, A.J., Murata, M., Wakamiya, N. (eds) Biologically Inspired Approaches to Advanced Information Technology. BioADIT 2004. Lecture Notes in Computer Science, vol 3141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27835-1_12
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DOI: https://doi.org/10.1007/978-3-540-27835-1_12
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