Network Intrusion Detection System Based on Negative Selection Algorithm Reinforced by Danger Theory


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Abstract


Nowadays information systems are increasingly connected to computer networks, such major openness raised many security problems; hence, implementing an effective method in intrusion detection has become of great importance. In this work, we will present a new method of intrusion detection system inspired by the human immune. In this method, we introduce the danger theory to improve the profitability of detection of negative selection algorithm.
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Keywords


IDS; Human Immunology; Artificial Immunology, Negative Selection Algorithm, The Danger Theory; Breast- Cancer-Wisconsin; Network Security

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References


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