P2P-based Weighted Behavioral Characteristics Of Deep Packet Inspection Algorithm

摘要：

This paper deeply analyzes the characteristics of P2P flow and the most popular detection algorithm, on the basis of which, P2P-based weighted behavioral characteristics of deep packet inspection algorithm is proposed, which better combined two kinds of practical P2P detection technology, solving problems of a high rate of false behavioral detection technology positively in the way of P2P flow weighted behavioral characteristics, solving problems of the P2P flow classification through deep packet inspection technology, and providing better solutions both to decrease the delay of deep packet inspection and help to relieve the problems of large number of inspection affecting network speed.

关键词： Peer-to-Peer Deep Packet Inspection Payload Eigenvalue Weighted Behavioral Characteristics

作者: LiJuan Zhang DongMing Li Jing Shi JunNan Wang

作者单位: College of Computer Science and Engineering Changchun University of Technology Changchun, 130012, P. College of Information Technology Jilin Agriculture University Changchun, 130118, P.R. China College of Computer Science and Engineering Changchun University of Technology Changchun, 130012, P.

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 468-470

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）