International Journal of Advanced Research in Computer Engineering & Technology
Recently, attacks against web application, such as SQL injection and cross site scripting, tend to increase. In this paper, the authors 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. They prepared samples for learning, to show the effectiveness of each approach. As the result, their analysis on detection method was successfully detected 99.5% attack test samples and 97.5% normal test samples.