Data Injection using Kalman-Like Particle Filter Based Smoother is Diagonalized into Subsystem

Web applications are typically developed with hard time constraints and are often deployed with security vulnerabilities. Automatic web vulnerability scanners can help to locate these vulnerabilities and are popular tools among developers of web applications. Their purpose is to stress the application from the attacker's point of view by issuing a huge amount of interaction within it. Two of the most widely spread and dangerous vulnerabilities in web applications are SQL injection and cross site scripting (XSS), because of the damage they may cause to the victim business. The most common types of software faults are injected in the web application code which is then checked by the scanners. The results are compared by analyzing coverage of vulnerability detection and false positives. Added to this it checks whether the domain or URL gives is present in any of the domain blacklist sites. It also provides I Category- the category classification for the given domain. So this gives the analyst an advantage of having the Domain rating for the given domain with a lookup on top blacklist providing sites and also the Category Classification for the given domain. Three leading commercial scanning tools are evaluated and the results show that in general the coverage is low and the percentage of false positives is very high. Sarumathy. B | Indra. E"Data Injection using Kalman-Like Particle Filter Based Smoother is Diagonalized into Subsystem" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9608.pdf http://www.ijtsrd.com/engineering/computer-engineering/9608/data-injection-using-kalman-like-particle-filter-based-smoother-is-diagonalized-into-subsystem/sarumathy-b