Transitional Probabilistic Approach for Detection and Rejection of Vulnerability

The existing techniques and strategies are not sufficient enough to handle most of the vulnerabilities due to its complex nature, and the lack of sophistication in the current input validation techniques. Cross site scripting attack is considered a very dangerous attack for web security. The proposed work identifies the websites with XSS vulnerabilities. Many existing methods are used to detect vulnerabilities, but the proposed work detects as well as rejects the XSS website. It describes the procedure to map the injected probability, to detect the presence of an injected string. The proposed architecture does not demand any source code modifications, and performs detailed analysis at negligible computational overheads without false positives or false negatives. The proposed approach has a fully automated probability assessment procedure to build a legal probability model and has a validation technique to match the dynamic user with the design template.