摘要
分析了局域网内网用户大流量下载的特点,将数据挖掘技术应用于发现用户大规模P2P下载中,建立了检测大规模P2P下载的模型,根据领域知识,有效克服了关联算法在这个领域中的局限性,并优化了数据挖掘中的关联算法,通过实验证明优化的算法提高了检测的效率。最后将挖掘出的规则与防火墙系统联动,拒绝了局域网中大规模的下载,提高了校园网的利用效率。
The signification of peer-to-peer downloading is analyzed, and the data mining technology is applied to P2P downloading detec- tion. A model to detect P2P downloading is built. The Agriori algorithm is improved according to the given domain knowledge, and the detection performance of the algrithm improved is certified by experiments. Finally, the rules mined by the improved algorithm is interacted with firewall, and the utilization ratio of the campus network is promoted.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第4期54-57,共4页
Computer Applications and Software
关键词
数据挖掘
关联算法
入侵检测
P2P下载
Data mining Association algorithm Intrusion detection Peer-to-peer downloading
