A Comprehensive Review on Multi-Class DDoS Attack Classification in IoT

Shivani Sinha, Sheshang Degadwala
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Abstract

This review paper provides a comprehensive analysis of multi-class Distributed Denial of Service (DDoS) attack classification in the context of Internet of Things (IoT) environments. The exponential growth of IoT devices has introduced new challenges in securing networks against sophisticated DDoS attacks. In this study, we explore and evaluate various classification techniques and methodologies designed to identify and mitigate multi-class DDoS attacks in IoT ecosystems. The paper synthesizes existing research, highlights key advancements, and identifies gaps in the current literature, offering insights into the state-of-the-art approaches for enhancing the security posture of IoT systems.
物联网多类 DDoS 攻击分类综述
本综述论文全面分析了物联网(IoT)环境下的多类分布式拒绝服务(DDoS)攻击分类。物联网设备的指数级增长为确保网络免受复杂的 DDoS 攻击带来了新的挑战。在本研究中,我们探索并评估了各种分类技术和方法,旨在识别和缓解物联网生态系统中的多类 DDoS 攻击。本文综述了现有研究,重点介绍了主要进展,并指出了当前文献中存在的差距,为加强物联网系统安全态势的最新方法提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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