Traffic Identification of Tor and Web-Mix

被引：12

作者：

Bai, Xuefeng ^{[1
]}

Zhang, Yong ^{[1
]}

Niu, Xiamu ^{[1
]}

机构：

[1] Harbin Inst Technol, Shenzhen Grad Sch, Harbin 518055, Guangdong, Peoples R China

来源：

ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ISDA.2008.209

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the wide use of anonymity tools, both blocking and anti-blocking of these tools have become hot topics. And the traffic identifications of the corresponding tools are key issues of both blocking and anti-blocking. In this paper, we address on identifying Tor and Web-Mix traffics, which are two of the most famous anonymity tools. Taking advantage of the typical methods for traffic identification, we proposed a traffic identification scheme based on traffic fingerprint extraction and matching. The fingerprints comprise of the specific strings, packet length and frequency of the packets' sending time. The details of design and implementation of such traffic identification scheme for both Tor and Web-Mix are presented. The feasibility of the proposed scheme is shown by the simulation experiments results.

引用

页码：548 / 551

页数：4