DocumentCode :
2716126
Title :
Web Anomaly Detection System for Mobile Web Client
Author :
Jang, Sung-Min ; Won, Yoo-Hun
Author_Institution :
Hongik Univ., Seoul
Volume :
2
fYear :
2007
fDate :
6-8 Dec. 2007
Firstpage :
543
Lastpage :
547
Abstract :
Careless development of Web applications has often caused occurrence of new Web-based attacks. The signature-based intrusion detection system cannot detect these attacks as it seems to lack the capability to deal with such various new intrusions. As a result, it is necessary to research and develop new types of detection methods that can detect new intrusions as well as protect the system from previous well-known attacks. In this paper, we propose a web anomaly detection system. This system can detect suspicious Web traffic using an HTTP traffic pattern analysis and the URI field information analysis of the HTTP packet. We also demonstrate the feasibility of the proposed system by implementing the system and showing some reasonable results.
Keywords :
Internet; authorisation; client-server systems; digital signatures; mobile computing; telecommunication security; telecommunication traffic; HTTP traffic pattern analysis; Internet firewalls; Web anomaly detection system; Web traffic; mobile Web client; signature-based intrusion detection system; Computer crime; Engines; Face detection; Intrusion detection; Pattern analysis; Pattern matching; Performance analysis; Protection; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Generation Communication and Networking (FGCN 2007)
Conference_Location :
Jeju
Print_ISBN :
0-7695-3048-6
Type :
conf
DOI :
10.1109/FGCN.2007.232
Filename :
4426301
Link To Document :
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