An Efficient Mac-Based ICMP Verification Algorithm for Early Detection of Bandwidth-Depleting DDOS Attacks

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.

Authors

Publication Details

Journal
British Journal of Computer Networking and Information Technology
Published
2025-07-18
DOI
https://doi.org/10.52589/bjcnit-bqjkbu5p
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

An Efficient Mac-Based ICMP Verification Algorithm for Early Detection of Bandwidth-Depleting DDOS Attacks

C. Ajaegbu, J.A. Mugerwa, Simon O. Awodele, Emmanuel Ifeoluwa Oyerinde
British Journal of Computer Networking and Information Technology
Network Security and Intrusion Detection
article

An Efficient Mac-Based ICMP Verification Algorithm for Early Detection of Bandwidth-Depleting DDOS Attacks

C. Ajaegbu, J.A. Mugerwa, Simon O. Awodele, Emmanuel Ifeoluwa Oyerinde
article en

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.

British Journal of Computer Networking and Information TechnologyVol. 8(2)
Openalex Percentile: Top 78%
Network Security and Intrusion Detection
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