期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：6
页码：191-195
出版社：International Journal of Computer Science and Network Security
摘要：Input validation attacks against web applications are very common. These attacks lead to web application damage, information leakage, unauthorized access, etc. Therefore it is very important to have some effective metrics to provide a much better detection, and to rank these metrics to measure how successful they are. In this paper we developed three metrics for detection of input validation (IV) attacks and allocated a rank to each. Also a method is presented here for detection of input validation in web apps with zero false positive rate.
关键词：Input Validation Attacks; IV Attacks Detection; Detection Metrics; Web Apps Attack Detection.
