%0 Journal Article
%T P2P Network Virus Detection Model Based on Immune Collaboration<br>基于免疫协作的P2P网络病毒检测模型
%A CHENG Chun-ling
%A CHAI Qian
%A XU Xiao-long
%A XIONG Jing-yi
%A <br>程春玲
%A 柴倩
%A 徐小龙
%A 熊婧夷
%J 计算机科学
%D 2011
%I 
%X 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.
%K Immune algorithm
%K Virus dctcction
%K Peer to peer network
%K Collaboration<br>免疫算法，病毒检测，对等网络，协作
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2AC66EB828B1E4357C6136299C4A5B7A&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=F3090AE9B60B7ED1&sid=BFE7933E5EEA150D&eid=E84BBBDDD74F497C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0