Comparative Study of DDoS Detection and Mitigation Techniques

Distributed denial-of-service or more simply called DDoS attack is one of the most popular existing attack in cyber-security though it is simple to perform it provides very complex background tasks, which makes it a very powerful threat to the cybersec community, denial-of-service is an attack where the at-tacker uses a system to send requests and various packets in or-der to overload the victims system resources and either crash it or make it unavailable to the legitimate user when this is done using various botnets then this is called distributed denial-of-ser-vice in which the botnets carry malware or just send requests at the same time overloading the system. In this paper, we present a comparative study of distributed denial-of-service (DDoS) and its prevention, Detection and mitigation techniques. Providing a thorough analysis of existing prevention and detection measures and comparing which among them can provide the best result and suitable for fighting these attacks and testing the accuracy and finding out the feature scores of algorithms used. Including, some points of research with future scope in the field of Distributed denial-of-service and its detection algorithms and preventive techniques.