@Article{jcs.2021.018623,
AUTHOR = {Isha Sood, Varsha Sharma},
TITLE = {Computational Intelligent Techniques To Detect DDOS Attacks : A  Survey},
JOURNAL = {Journal of Cyber Security},
VOLUME = {3},
YEAR = {2021},
NUMBER = {2},
PAGES = {89--106},
URL = {http://www.techscience.com/JCS/v3n2/43997},
ISSN = {2579-0064},
ABSTRACT = {The Internet is often targeted by the Distributed Denial of Service 
(DDOS) Attacks that deliberately utilize resources and bandwidth to prohibit
access to potential users. The attack possibility is that the packets are filled 
massively. A DOS attack is launched by a single source, while a DDOS attack is 
originated from numerous resources. DDoS attacks are not capable of stealing 
website user’s information. The prime motive of the DDoS attacks is to devastate
the website resources. Distributed Denial of Service (DDoS) attacks are 
disruptive to internet access on the Network. The attitude of the customer to get 
fast and reliable services can be seriously influenced by DDoS attackers. In the
digital era of today, cases of DDoS attacks have also been exceeded in the 
wireless, smartphone, and IoT attacks with catastrophic implications. We will 
soon be experiencing the 5G smartphone rebellion, but there are indications that 
5G networks too are becoming victim to DDoS attacks but the existing DDoS 
detection and protection strategies are not able to handle DDOS attacks 
successfully therefore, thorough research on implementing computational 
intelligent strategies in the detection and defense techniques has been performed 
to recognize, mitigate, and avoid these attacks. But the most suitable and 
efficient defense strategy for these attacks remains an issue to be addressed in the 
future. This review article concentrates on the most prevalent methods of 
detection and defense against DDoS attacks that incorporate computational 
intelligence. The analysis describes attacks and explains them. The key factors 
relevant to the detection of DDOS attacks are included in this research like 
methods, tools, and detection accuracy. Finally, various challenges attached to 
the detection of DDOS attacks and research gaps are depicted.},
DOI = {10.32604/jcs.2021.018623}
}