Distributed Denial-of-Service (DDoS) Attacks and Defense Mechanisms in Various Web-Enabled Computing Platforms: Issues, Challenges, and Future Research Directions

【Author】 Singh, Anshuman; Gupta, Brij B.

【Source】INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS

【影响因子】1.478

【Abstract】The demand for internet security has escalated in the last two decades because the rapid proliferation in the number of internet users has presented attackers with new detrimental opportunities. One of the simple yet powerful attacks lurking around the internet today is the distributed denial-of-service (DDoS) attack. The expeditious surge in the collaborative environments, like IoT, cloud computing, and SDN, have provided attackers with countless new avenues to benefit from the distributed nature of DDoS attacks. The attackers protect their anonymity by infecting distributed devices and utilizing them to create a bot army to constitute a large-scale attack. Thus, the development of an effective as well as efficient DDoS defense mechanism becomes an immediate goal. In this exposition, the authors present a DDoS threat analysis along with a few novel ground-breaking defense mechanisms proposed by various researchers for numerous domains. Further, they talk about popular performance metrics that evaluate the defense schemes. In the end, they list prevalent DDoS attack tools and open challenges.

【Keywords】Blockchain; Botnet; Cloud Computing; Deep Learning; Distributed Denial-of-Service Attacks; IoT; Machine Learning; Web-Enabled Computing Platforms

【发表时间】2022

【收录时间】2022-08-15

【文献类型】综述

【主题类别】

区块链应用-实体经济-网安领域