Open Access
ARTICLE
Computational Intelligent Techniques To Detect DDOS Attacks : A Survey
Isha Sood*, Varsha Sharma
School of Information Technology, Rajiv Gandhi Prodyogiki Vishvavidyalya, Bhopal, India
* Corresponding Author: Isha Sood. Email:
Journal of Cyber Security 2021, 3(2), 89-106. https://doi.org/10.32604/jcs.2021.018623
Received 06 July 2021; Accepted 15 July 2021; Issue published 02 August 2021
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.
Keywords
Cite This Article
I. Sood and V. Sharma, "Computational intelligent techniques to detect ddos attacks : a survey,"
Journal of Cyber Security, vol. 3, no.2, pp. 89–106, 2021. https://doi.org/10.32604/jcs.2021.018623