A comprehensive survey on DDoS attacks on various intelligent systems and it's defense techniques

被引：21

作者：

Gaurav, Akshat ^{[1
]}

Gupta, Brij B. ^{[2
,3
,4
,5
,6
]}

Alhalabi, Wadee ^{[6
]}

Visvizi, Anna ^{[7
]}

Asiri, Yousef ^{[8
]}

机构：

[1] Ronin Inst, Montclair, NJ USA

[2] Asia Univ, Int Ctr AI & Cyber Secur Res & Innovat, Taichung 413, Taiwan

[3] Asia Univ, Dept Comp Sci & Informat Engn, Taichung 413, Taiwan

[4] Lebanese Amer Univ, Beirut, Lebanon

[5] Univ Petr & Energy Studies UPES, Ctr Interdisciplinary Res, Dehra Dun, Uttarakhand, India

[6] King Abdulaziz Univ, Dept Comp Sci, Jeddah, Saudi Arabia

[7] Amer Coll Greece, Sch Business, Deree Coll, Athens, Greece

[8] Najran Univ, Coll Comp Sci & Informat Syst, Najran, Saudi Arabia

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2022年 / 37卷 / 12期

关键词：

DDoS; DDoS attack tools; resource depletion attack; volumetric DDoS attack; MECHANISM; CLASSIFICATION; MITIGATION; ROUTER;

D O I：

10.1002/int.23048

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：11407 / 11431

页数：25

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