Detecting Web-Based Botnets Using Bot Communication Traffic Features
Joint Authors
Hsu, Fu-Hau
Ou, Chih-Wen
Hwang, Yan-Ling
Chang, Ya-Ching
Lin, Po-Ching
Source
Security and Communication Networks
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
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%.
American Psychological Association (APA)
Hsu, Fu-Hau& Ou, Chih-Wen& Hwang, Yan-Ling& Chang, Ya-Ching& Lin, Po-Ching. 2017. Detecting Web-Based Botnets Using Bot Communication Traffic Features. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1203009
Modern Language Association (MLA)
Hsu, Fu-Hau…[et al.]. Detecting Web-Based Botnets Using Bot Communication Traffic Features. Security and Communication Networks No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1203009
American Medical Association (AMA)
Hsu, Fu-Hau& Ou, Chih-Wen& Hwang, Yan-Ling& Chang, Ya-Ching& Lin, Po-Ching. Detecting Web-Based Botnets Using Bot Communication Traffic Features. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1203009
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203009