Mining Web Session Characteristic for Boundary Defense based on Hidden Markov Model

摘要：

Different from most existing studies on Web session identification, a novel dynamic realtime user session processes description method is presented in this paper. The proposed scheme doesnt rely on presupposed threshold or client/server side data which are widely used in traditional session detection approaches. A new parameter is defined based on inter-arrival time of HTTP requests. A nonlinear algorithm is introduced for quantization. Nonparametric hidden semi-Markov model is applied to distinguish the user session processes. A probability function is derived for predicting user session processes. Experi ments based on real HTTP traces of large-scale Web proxies are implemented to valid the proposal.

作者: Yi Xie Xiangnong Huang

作者单位: Department of Electrical and Communication Engineering,Network and Information Technology Center,Sun Department of Electrical and Communication gineering,Network and Information Technology Center,Sun Y

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 529-533

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）