Loading...
Loading...
British Journal of Computer, Networking and Information Technology
Vol. 8Issue 22025pp. 130–140Published 18 July 2025
DOI 10.52589/BJCNIT-BQJKBU5PShare Link
Cite this
Citation unavailable for this article.
Abstract:
Distributed Denial-of-Service (DDoS) attacks continue to pose a significant threat to the availability and reliability of online services. This paper presents a novel detection algorithm that leverages Message Authentication Code (MAC)-based verification of ICMP traffic to identify and block bandwidth-depleting DDoS attacks. Unlike threshold-based or machine learning-dependent techniques, the proposed algorithm uses IP and MAC address correlation to validate the legitimacy of packets, effectively filtering spoofed traffic in real time. The approach was implemented and tested using the NS-2 simulation environment. Results demonstrate an average detection accuracy of 88.89%, with zero false positives and negligible resource overhead. The proposed method offers a lightweight and effective solution suitable for deployment in edge and enterprise networks. This research contributes a simple yet robust technique to the existing portfolio of DDoS mitigation strategies.
Disclaimer/Publisher’s Note
The statements, opinions and data contained in this publication are solely those of the author(s) and contributor(s) and not of AB Journals or its editors. AB Journals remains neutral and accepts no responsibility for any injury or damage resulting from ideas, methods, instructions or products referred to in the content.
Copyrights