Abstract
In recent years Internet has experienced a rapid expansion and also facing increased no. of security threats. However many technological innovations have been proposed for information assurance but still protection of computer systems has been difficult. With the rapid growth of Internet technology, a high level of security is needed for keeping the data resources and equipments secure. In this context intrusion detection (ID) has become an important area of research since building a system with no vulnerabilities has not been technically feasible.
In this paper, a Genetic Algorithm based approach is presented for network misuse intrusion detection system. The proposed genetic algorithm uses a set of classification rules which are generated from a predefined intrusion behavior. From the results it could be concluded that by applying proposed rule based network intrusion detection algorithm, more no. of intrusions can be detected.
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© 2012 Springer-Verlag Berlin Heidelberg
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Goyal, M.K., Aggarwal, A. (2012). Composing Signatures for Misuse Intrusion Detection System Using Genetic Algorithm in an Offline Environment. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31513-8_16
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DOI: https://doi.org/10.1007/978-3-642-31513-8_16
Publisher Name: Springer, Berlin, Heidelberg
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