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Security and Communication Networks
Volume 2017, Article ID 5960307, 11 pages
https://doi.org/10.1155/2017/5960307
Research Article

Detecting Web-Based Botnets Using Bot Communication Traffic Features

1Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan
2School of Applied Foreign Languages, Chung Shan Medical University, Taichung, Taiwan
3Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan

Correspondence should be addressed to Chih-Wen Ou; moc.liamg@uoknarf.newhihc

Received 28 March 2017; Revised 18 June 2017; Accepted 25 September 2017; Published 3 December 2017

Academic Editor: Steffen Wendzel

Copyright © 2017 Fu-Hau Hsu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Web-based botnets are popular nowadays. A Web-based botnet is a botnet whose C&C server and bots use HTTP protocol, the most universal and supported network protocol, to communicate with each other. Because the botnet communication can be hidden easily by attackers behind the relatively massive HTTP traffic, administrators of network equipment, such as routers and switches, cannot block such suspicious traffic directly regardless of costs. Based on the clients constituent of a Web server and characteristics of HTTP responses sent to clients from the server, this paper proposes a traffic inspection solution, called Web-based Botnet Detector (WBD). WBD is able to detect suspicious C&C (Command-and-Control) servers of HTTP botnets regardless of whether the botnet commands are encrypted or hidden in normal Web pages. More than 500 GB real network traces collected from 11 backbone routers are used to evaluate our method. Experimental results show that the false positive rate of WBD is 0.42%.