A comprehensive survey on DDoS attacks on various intelligent systems and it's defense techniques. Issue 12 (2nd September 2022)

• Record Type: Journal Article
• Authors: Gaurav, Akshat; Gupta, Brij B.; Alhalabi, Wadee; Visvizi, Anna; Asiri, Yousef
• Is Part Of: International journal of intelligent systems. Volume 37:Issue 12(2022)
• Page Start: 11407
• Page End: 11431
• Publication Date: 2022-09-02
• Subjects: DDoS -- DDoS attack tools -- resource depletion attack -- volumetric DDoS attack; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.23048
• Languages: English
• ISSNs: 0884-8173

Abstract

Abstract: The purpose of this study is to provide an overview of distributed denial of service (DDoS) attack detection in intelligent systems. In recent times, due to the endemic COVID‐19, the use of intelligent systems has increased. However, these systems are easily affected by DDoS attacks. A DDoS attack is a reliable tool for cyber‐attackers because there is no efficient method which can detect or filter it properly. In this context, we analyze different types of DDoS attacks and defense techniques for intelligent systems. For the analysis, we used Scopus databases to collect relevant papers in English between 2014 and 2022. This study makes an important contribution to the field of DDoS attack detection for intelligent systems, providing a comprehensive overview of the field's evolution and current status, as well as a comprehensive, synthesized, and organized summary of various perspectives, definitions, and trends in the field.