Title :
Web Application Intrusion Detection System for Input Validation Attack
Author :
Park, YongJoon ; Park, Jaechul
Author_Institution :
Chonnam Nat. Univ., Gwangju
Abstract :
This paper presents Web application intrusion detection system (WAIDS); an intrusion detection method based on an anomaly intrusion detection model for detecting input validation attacks against web applications. Our approach is based on web application parameters which has identical structures and values. WAIDS derives a new intrusion detection method using generated profile from Web request data in normal situation. By doing this, it is possible to reduce analysis time and false positives rate. Experimental results show that our approach can detect input validation attacks effectively.
Keywords :
Internet; security of data; Web application intrusion detection system; Web request data; anomaly intrusion detection; input validation attack; Bioinformatics; Computer crime; Data analysis; Information security; Information technology; Intrusion detection; Pattern analysis; Time factors; Web services; Writing; Input Validation Attack; Intrusion Detection System; Web Application Security;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.338
