期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：6
页码：2942-2945
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Recently, attacks against web application, such as SQL injection and cross site scripting, tend to increase. In this paper, we have done the analysis on different approaches of detection techniques against cross site scripting attacks by extracting an attack feature of cross site scripting attacks . We prepared samples for learning , to show the effectiveness of each approach. As the result, our analysis on detection method was successfully detected 99.5% attack test samples and 97.5% normal test samples. Web applications often use cookies for maintaining an authentication state between users and web applications, these cookies are typically sent to the users by the web applications after the users have been successfully authenticated. Every subsequent request that contains the valid cookies will be automatically allowed by the web applications without any further authentication. The cookies are used to both identify and authenticate the users; therefore they are an interesting target for potential attackers. Cross Site Scripting attack (XSS for short) is one of popular attacks which is often used to steal the cookies from a browser's database. In this paper we have shown different features of detection techniques used to protect we applications.
