Author:
Al-Duwairi Basheer,Al-Kahla Wafaa,AlRefai Mhd Ammar,Abedalqader Yazid,Rawash Abdullah,Fahmawi Rana
Abstract
The Internet of Things (IoT) is becoming an integral part of our daily life including health, environment, homes, military, etc. The enormous growth of IoT in recent years has attracted hackers to take advantage of their computation and communication capabilities to perform different types of attacks. The major concern is that IoT devices have several vulnerabilities that can be easily exploited to form IoT botnets consisting of millions of IoT devices and posing significant threats to Internet security. In this context, DDoS attacks originating from IoT botnets is a major problem in today’s Internet that requires immediate attention. In this paper, we propose a Security Information and Event Management-based IoT botnet DDoS attack detection and mitigation system. This system detects and blocks DDoS attack traffic from compromised IoT devices by monitoring specific packet types including TCP SYN, ICMP and DNS packets originating from these devices. We discuss a prototype implementation of the proposed system and we demonstrate that SIEM based solutions can be configured to accurately identify and block malicious traffic originating from compromised IoT devices.
Publisher
Institute of Advanced Engineering and Science
Subject
Electrical and Electronic Engineering,General Computer Science
Cited by
30 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. A Comprehensive Review of Internet-of-Things (IoT) Botnet Detection Techniques;Advances in Information Security, Privacy, and Ethics;2024-06-30
2. Advancing Intrusion Detection with Machine Learning: Insights from the UNSW-NB15 Dataset;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28
3. Enhancing Security in CIC IoT Networks through Machine Learning Algorithms;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28
4. Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques;Sensors;2024-06-01
5. IoT Malware Detection: Navigating Challenges in Securing Smart Environment;2024 5th International Conference for Emerging Technology (INCET);2024-05-24