Filtering of Distributed Denial of Services (DDoS) Attacks in Cloud Computing Environment

Cloud computing is the utility sharing platform through which users can rent the services as per their requirements. Users which have low computation resources rent the services from the cloud platform and increase their performances. Anyone can join the cloud computing platforms, this makes it the target of different types of cyberattacks. The DDoS attack is one of the deadliest cyberattacks that affects the performance of the cloud computing platform by making it unavailable to its users. In this paper, we proposed a statistical approach for the detection of DDoS attacks for cloud computing platforms. We used the concept of cluster entropy and packet score to differentiate the malicious traffic from the normal traffic. We implemented our proposed approach using the OMNET++ simulator, and get an average precision of 96%.