Vulnerability Assessment in Heterogeneous Web Environment Using Probabilistic Arithmetic Automata

In the current scenario most of business enterprises are running through web applications. But major drawback is that they fail to provide a secure environment. To overcome this security issue in applications, there many vulnerability detection tools available at present. these not proactive and consistent as it does adapt all kinds recent updates unable track new emerging vulnerabilities. For long-term functioning enterprise, statistical data with efficient analytics on vulnerabilities required enhance its impacts. Predictive Analytics powerful solution effectively arm incident response modern-day threats. provides decision-making approach insights into how well programs working. It can also help identify problem areas warn about imminent or active attacks heterogeneous applications former features analyze origin pattern attack more effective manner. The analyzed research given an input Machine Learning techniques such Deterministic Arithmetic Automata (DAA), Probabilistic (PAA) predict probabilistic value output. From obtained values, we detect cause attack, prevent application from further impacts find penetration level service.