Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art approaches

IF 5 3区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Egyptian Informatics Journal Pub Date : 2024-08-26 DOI:10.1016/j.eij.2024.100517
Mohamed Ouhssini , Karim Afdel , Mohamed Akouhar , Elhafed Agherrabi , Abdallah Abarda
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Abstract

This comprehensive study examines cutting-edge strategies for combating Distributed Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent literature. Through a systematic review of the latest advancements, we propose a framework for identifying, preventing, and mitigating DDoS threats specifically tailored to cloud infrastructures. Our research highlights the urgent need for robust defense mechanisms to enhance cloud security, minimize service disruptions, and safeguard against data breaches. By analyzing the strengths and limitations of current models, we underscore the importance of continued innovation in this rapidly evolving field. This study provides essential insights for academics and industry professionals aiming to enhance the resilience of cloud infrastructure against the ongoing and adaptive menace of DDoS attacks.

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检测、预防和缓解云环境中 DDoS 攻击的进展:对最先进方法的全面系统回顾
本综合研究探讨了在云环境中打击分布式拒绝服务(DDoS)攻击的前沿策略,填补了近期文献中的一个重要空白。通过对最新进展的系统回顾,我们提出了一个专门针对云基础设施的识别、预防和缓解 DDoS 威胁的框架。我们的研究强调了对强大防御机制的迫切需求,以增强云安全、最大限度地减少服务中断并防止数据泄露。通过分析当前模型的优势和局限性,我们强调了在这个快速发展的领域持续创新的重要性。这项研究为学术界和业界专业人士提供了重要的见解,他们的目标是提高云基础设施的复原力,抵御持续不断的、适应性强的 DDoS 攻击威胁。
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来源期刊
Egyptian Informatics Journal
Egyptian Informatics Journal Decision Sciences-Management Science and Operations Research
CiteScore
11.10
自引率
1.90%
发文量
59
审稿时长
110 days
期刊介绍: The Egyptian Informatics Journal is published by the Faculty of Computers and Artificial Intelligence, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.
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