计算机科学 ›› 2011, Vol. 38 ›› Issue (10): 60-63.

• 计算机网络与信息安全 • 上一篇    下一篇

基于免疫协作的P2P网络病毒检测模型

程春玲,柴倩,徐小龙,熊婧夷   

  1. (南京邮电大学计算机学院 南京210003)
  • 出版日期:2018-11-16 发布日期:2018-11-16

P2P Network Virus Detection Model Based on Immune Collaboration

CHENG Chun-ling,CHAI Qian,XU Xiao-long,XIONG Jing-yi   

  • Online:2018-11-16 Published:2018-11-16

摘要: P2P环境提供了便捷的资源共享和直接通信,但也使病毒等获得了更为方便的传播和感染渠道。提出一种基于免疫协作的混合式对等网络病毒检测模型,利用对等节点间的协作实现记忆检测器的共享,通过在中枢节点建立疑似病毒库降低病毒检测的漏检率和误检率。在检测器生成阶段,提出基于二次成熟的否定选择算法以降低检测器集的冗余度;在病毒检测阶段,提出多免疫融合的P2P网络病毒检测算法,用以检测未知病毒。仿真结果表明,基于二次成熟的否定选择算法降低了检测器的冗余度,提高了检测性能。同时,记忆检测器能被网络中的节点快速共享,提高了网络的安全性。

关键词: 免疫算法,病毒检测,对等网络,协作

Abstract: P2P provides the advantage of convenient resource sharing and direct communication, meanwhile, the virus obtains a more convenient spread and infection channels. A peer-to-peer network virus detection model based on immune collaboration was proposed. The nature of collaboration between peers was used to share the memory detector. The suspeeled virus database was established in the central peers to reduce the false rate and missed rate. In detector generation phase, an improved NSA based on double mature was proposed to reduce the redundancy of detector set. In virus deteclion phase, multi immune P2P virus detection algorithm can detect the unknown viruses. Simulation results show that the improved algorithm can reduce the number of detectors and improve the detection performance. Meanwhile, the memory detectors can be quickly shared by peers,so the security of P2P network is improved.

Key words: Immune algorithm, Virus dctcction, Peer to peer network, Collaboration

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