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.

中文翻译：

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对各种智能系统的DDoS攻击及其防御技术的综合考察

本研究的目的是概述智能系统中的分布式拒绝服务 (DDoS) 攻击检测。最近，由于流行的 COVID-19，智能系统的使用有所增加。但是，这些系统很容易受到 DDoS 攻击。DDoS 攻击是网络攻击者的可靠工具，因为没有有效的方法可以正确检测或过滤它。在此背景下，我们分析了针对智能系统的不同类型的 DDoS 攻击和防御技术。为了分析，我们使用 Scopus 数据库收集了 2014 年至 2022 年间的相关英文论文。这项研究对智能系统 DDoS 攻击检测领域做出了重要贡献，全面概述了该领域的演变和现状，以及作为一个综合的、综合的、