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The Research for an Improved Dynamic Clonal Selection Algorithm Applied to Intrusion Detection
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TP309

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    Abstract:

    Sets of self, non-self, antigen, antibody and immune cell are defined. Method of the appetency calculation is improved. An idiographic dynamic clonal selection algorithm is put forward based on controllable - aberrance and random - aberrance. An intrusion detection system (IDS) model based on the idiographic immune algorithm is designed and realized. Emulative experiment shows that the idiographic immune algorithm is effective in improving the self - adaptability of IDS.

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  • Received:
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  • Online: November 24,2015
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