Effective Intrusion Detection and Reducing Security Risks in Virtual Networks (edsv)

Abstract: Cloud computing provides multiple services to the cloud users, particularly in Infrastructure as a service (Ias) clouds user may install vulnerable software on their virtual machines. Attackers exploit these virtual machines to compromise as zombie and by using it attacker can perform Distributed denial of service (DDOS) attacks. The Distributed Denial of service attacks (DDOS) caused by the extreme flow of requests from clients to the cloud sever at the same time. The DDOS attacks are very much high in the existing Intrusion detection systems. To overcome these problems a modified approach called Effective Intrusion Detection and reducing Security risks in Virtual Networks (EDSV) is proposed. It enhances the intrusion detection by closely inspecting the suspicious cloud traffic and determines the compromised machines A novel attack graph based alert correlation algorithm is used to detect DDOS attacks and reduced to low level by incorporating access control and software switching mechanism. It also reduces the infrastructure response time and CPU utilization.