Optimization of Network Intrusion Detection Model based on Artificial Bee Colony Algorithm
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    Abstract:

    The Artificial Bee Colony Algorithm based on network intrusion detection is a set of application programming interface, based on which a sophisticated intrusion detection system is designed and developed on Linux platform, and based on such an algorithm combined with Differential Evolution (DE), data information exchange is thereby realized, with data processing model adopted and analysed independently under the bi-group structure rules. By analyzing bee colony with distributed technology and with the space information search tool, the study strategy function is thereby assured. The quality of population improvement can be proved through emulation experiments. A script of description language for a simple intrusion detection model is designed, with a view to optimize the detection sample database and perform the detection for network anomalous behaviors.

    Reference
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吴建龙.基于蜂群算法的网络入侵检测模型优化.计算机系统应用,2014,23(2):223-226,222

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History
  • Received:July 13,2013
  • Revised:August 26,2013
  • Online: January 27,2014
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