DYNAMIC NETWORK SECURITY PROTECTION ON CLOUD COMPUTING

This paper focuses on DDoS problem and trying to give solution using auto correlation and alert generation methods. Cloud trace back model has efficient and it's dealing with DDoS attacks using back propagation neural network method and finds that the model is useful in tackling Distributed Denial of Service attacks. Distributed denial of service attacks has become more sophisticated as to exploit application-layer vulnerabilities. NICE (Network Intrusion Detection and Countermeasure Selection) is used to propose multiphase distributed vulnerability detection for attack measurement, and the countermeasure selection mechanism which is built on attack graph-based analytical models and reconfigurable virtual network-based countermeasures. The systems and security evaluations demonstrate the efficiency and effectiveness of the solution.