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    Evolution Induced Secondary Immunity: An Artificial Immune System based Intrusion Detection System

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    The analogy between Immune Systems and Intrusion Detection Systems encourage the use of Artificial Immune Systems for anomaly detection in computer networks. This paper describes a technique of applying Artificial Immune System along with Genetic algorithm to develop an Intrusion Detection System. Far from developing Primary Immune Response, as most of the related works do, it attempts to evolve this Primary Immune Response to a Secondary Immune Response using the concept of memory cells prevalent in Natural Immune Systems. A Genetic Algorithm using genetic operators- selection, cloning, crossover and mutation- facilitates this. Memory cells formed enable faster detection of already encountered attacks. These memory cells, being highly random in nature, are dependent on the evolution of the detectors and guarantee greater immunity from anomalies and attacks. The fact that the whole procedure is enveloped in the concepts of Approximate Binding and Memory Cells of lightweight of Natural Immune Systems makes this system reliable, robust and quick responding.

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    Title : Evolution Induced Secondary Immunity: An Artificial Immune System based Intrusion Detection System
    Author(s) : Divyata Dal, Siby Abraham, Ajith Abraham, Sugata Sanyal, Mukund Sanglikar
    Abstract : The analogy between Immune Systems and Intrusion Detection Systems encourage the use of Artificial Immune Systems for anomaly detection in computer networks. This paper describes a technique of applying Artificial Immune System along with Genetic algorithm to develop an Intrusion Detection System. Far from developing Primary Immune Response, as most of the related works do, it attempts to evolve this Primary Immune Response to a Secondary Immune Response using the concept of memory cells prevalent in Natural Immune Systems. A Genetic Algorithm using genetic operators- selection, cloning, crossover and mutation- facilitates this. Memory cells formed enable faster detection of already encountered attacks. These memory cells, being highly random in nature, are dependent on the evolution of the detectors and guarantee greater immunity from anomalies and attacks. The fact that the whole procedure is enveloped in the concepts of Approximate Binding and Memory Cells of lightweight of Natural Immune Systems makes this system reliable, robust and quick responding.
    Keywords : Artificial Immune System, Intrusion Detection System, Evolution Induced Secondary Immunity

    Subject : Security
    Area : Computer Science
    Language : English
    Year : 2008

    Affiliations School of Technology & Computer Science, Tata Institute of Fundamental Research, Mumbai-400005, India

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