Detection and Prevention Algorithm of DDoS Attack Over the IOT Networks

Author:

Abstract

One of the most notorious security issues in the IoT is the Distributed Denial of Service (DDoS) attack. Using a large number of agents, DDoS attack floods the host server with a huge number of requests causing interrupting and blocking the legitimate user requests. This paper proposes a detection and prevention algorithm for DDoS attacks. It is divided into two parts, one for detecting the DDoS attack in the IoT end devices and the other for mitigating the impact of the attack placed on the border router. Also, it has the ability to differentiate the High-rate from the Lowrate DDoS attack accurately and defend against these two types of attacks. It is implemented and tested against different scenarios to dissect their efficiency in detecting and mitigating the DDoS attack.

Publisher

Association for Information Communication Technology Education and Science (UIKTEN)

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,Education,Information Systems,Computer Science (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment;Lecture Notes in Computer Science;2024

2. SM-FPLF: Link-State Prediction for Software-Defined DCN Power Optimization;IEEE Access;2024

3. An Algorithm to Prevent Distributed Denial-of-Service Attacks on the Internet of Things;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

4. IOT Security and Machine Learning Algorithms: Survey and Analysis;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11

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