Grammar-based anomaly methods for HTTP attacks

Yang, Xiaofeng, Sun, Mingming, Hu, Xuelei and Yang, Jingyu (2009). Grammar-based anomaly methods for HTTP attacks. In: Proceedings of the 2009 Chinese Conference on Pattern Recognition (CCPR 2009) and the First CJK Joint Workshop on Pattern Recognition (CJKPR). Chinese Conference on Pattern Recognition 2009 (CCPR 2009), Nanjing, China, (1-5). 4-6 November 2009. doi:10.1109/CCPR.2009.5344007


Author Yang, Xiaofeng
Sun, Mingming
Hu, Xuelei
Yang, Jingyu
Title of paper Grammar-based anomaly methods for HTTP attacks
Conference name Chinese Conference on Pattern Recognition 2009 (CCPR 2009)
Conference location Nanjing, China
Conference dates 4-6 November 2009
Proceedings title Proceedings of the 2009 Chinese Conference on Pattern Recognition (CCPR 2009) and the First CJK Joint Workshop on Pattern Recognition (CJKPR)
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2009
Sub-type Fully published paper
DOI 10.1109/CCPR.2009.5344007
Open Access Status Not yet assessed
ISBN 9781424441990
Start page 1
End page 5
Total pages 5
Language eng
Abstract/Summary HTTP-related vulnerabilities are being more commonly exploited as HTTP applications becoming the number one application across the Internet. Several HTTP specific anomaly methods have been proposed, among which grammar-based methods tend more likely to reflect the underlying structure of HTTP communications, therefore showed a promising classifying capability between benign and malicious accesses. Because of being separately proposed among other methods, grammar-based methods have not been summarized and compared directly on the same dataset. This paper presents several grammar-based anomaly methods for HTTP attacks, reveals their detecting capabilities, common features, strengths and drawbacks in comparison with each other.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collection: School of Information Technology and Electrical Engineering Publications
 
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Created: Mon, 16 Dec 2013, 22:58:20 EST by Xuelei Hu on behalf of School of Information Technol and Elec Engineering