Abstract

AbstractRecently, the security threat on web application is increasing rapidly and especially open source web applications are becoming popular target of web server hacking. And more there was a worm which spread via web application vulnerabilities. Web application attack uses the vulnerability not in web server itself, but in structural, logical, and code errors. The majority of flaws in web applications are caused by absence of the user input validation. But, it is difficult to detect various abnormal user inputs by pattern matching method. In this paper, we propose the web application securing proxy based on profiling which can be constructed by learning usual normal activity. The proposed proxy system can detect and filter out attacker’s abnormal requests via anomaly detection mechanism.KeywordsWeb applicationAnomaly detectionHackingProxy

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.