DocumentCode :
2865721
Title :
Behavior-Based Anomaly Detection on the Server Side to Reduce the Effectiveness of Cross Site Scripting Vulnerabilities
Author :
Shanmugam, Jayamsakthi ; Ponnavaikko, M.
Author_Institution :
SRM Univ., Chennai
fYear :
2007
fDate :
29-31 Oct. 2007
Firstpage :
350
Lastpage :
353
Abstract :
Cross-site scripting (XSS) is the top most vulnerability in the Web applications as mentioned by research groups. Every day new evasion mechanisms are found by the hackers due to new technology, new HTML tags and script functionalities introduced. Zero-day attacks exploit the vulnerability before the fix could be issued to protect the Web application users. This demands an efficient approach on the server side to protect the users of the application. The proposed behavior based anomaly detection approach introduces a security layer on top of the Web application, so that the existing Web application remain unchanged whenever a new threat is introduced that demands new security mechanisms. Further application level parameters are introduced to reduce the processing time.
Keywords :
Internet; security of data; HTML tags; Web applications; behavior-based anomaly detection; cross site scripting vulnerabilities; evasion mechanisms; zero-day attacks; Application software; Authentication; Computer hacking; Data security; Displays; HTML; Information security; Operating systems; Protection; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
Type :
conf
DOI :
10.1109/SKG.2007.63
Filename :
4438567
Link To Document :
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