Survey of Detection Techniques for DDoS Attacks
Kavita S. Kumavat, Joanne Gomes · 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) · 2022
The internet has become a vital part of every person’s life today. The world is becoming smarter with applications. Many systems use distributed environment for working. Threads, attacks, and vulnerabilities are the major security concerns of any distributed system. The distributed system is vulnerable to DDoS attacks at different layers of the network. The most harmful attack on the distributed system is Distributed Denial of Service Attack (DDoS) in which an attacker can simply halt the working of all other users connected to the network. To secure distributed systems against DDOS attacks, various intrusion detection mechanisms and tree-based approaches have been proposed for information security. Most of these proposed mechanisms mention in this paper only concentrate on a single type of DDoS attack at any given time. Hence, developing a system that will support detecting and preventing various DDoS attacks is necessary. This paper provides a survey of DDoS attack detection and prevention using traditional techniques and tree-based techniques. Also, this paper will give an introduction to the proposed methodology Network Analysis Tree (NAT) which will be working on the detection and prevention of different DDoS attacks like flooding, DNS amplification, ICMP Smurf, Collision, Jamming, and Tampering.