Abstract
This paper proposes a distributed superior approach for preventing malicious access to corporate information system. It is to identify a foolproof system to obviate the manual analysis and breaches in the networking system by using a distributed approach and a technique of genetic algorithm that automates the generation of fuzzy rules. The experimental study is performed using audit data provided by MIT Lincoln labs. In order to reduce single point of failures in centralized security system, a dynamic distributed system has been designed in which the security management task is distributed across the network using Intelligent Multi-Agents.
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Sindhu, S.S.S., Ramasubramanian, P., Kannan, A. (2004). Intelligent Multi-agent Based Genetic Fuzzy Ensemble Network Intrusion Detection. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_152
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DOI: https://doi.org/10.1007/978-3-540-30499-9_152
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
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