Frequently used machine learning algorithm for detecting the distributed denial-of-service (DDoS) attacks

Distributed denial-of-service (DDoS) attack is a type of denial-of-service (DOS) attack. Basically both are same in nature but DDoS attack in addition is related to distributed systems. In this attack, the attacker utilizes several distributed machines to bring the target system on a network on the knees. Nowadays Internet security is vulnerable as there is an increase in DDoS attacks in the Internet world. The DDoS attack is becoming very powerful with time so it is very important that DDoS attack must be detected first, and then the attack may be minimized. There are many methods that are introduced to defend DDoS attacks. In this chapter, we have studied and compared various frequently used machine learning algorithms that are helpful in detecting and combating the DDoS attacks.