Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing

Bensaid, Radjaa; Labraoui, Nabila; Abba Ari, Ado Adamou; Maglaras, Leandros; Saidi, Hafida; Abdu Lwahhab, Ahmed Mahmoud; Benfriha, Sihem

Abstract

The growth of the Internet of Things (IoT) has recently impacted our daily lives in many ways. As a result, a massive volume of data are generated and need to be processed in a short period of time. Therefore, a combination of computing models such as cloud computing is necessary. The main disadvantage of the cloud platform is its high latency due to the centralized mainframe. Fortunately, a distributed paradigm known as fog computing has emerged to overcome this problem, offering cloud services with low latency and high-access bandwidth to support many IoT application scenarios. However, attacks against fog servers can take many forms, such as distributed denial of service (DDoS) attacks that severely affect the reliability and availability of fog services. To address these challenges, we propose mitigation of fog computing-based SYN Flood DDoS attacks using an adaptive neuro-fuzzy inference system (ANFIS) and software defined networking (SDN) assistance (FASA). The simulation results show that the FASA system outperforms other algorithms in terms of accuracy, precision, recall, and F1-score. This shows how crucial our system is for detecting and mitigating TCP-SYN floods and DDoS attacks.

Citation

Bensaid, R., Labraoui, N., Abba Ari, A. A., Maglaras, L., Saidi, H., Abdu Lwahhab, A. M., & Benfriha, S. (2024). Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing. Security and Communication Networks, 2024, Article 6651584. https://doi.org/10.1155/2024/6651584

• Journal Article Type: Article
• Acceptance Date: Feb 14, 2024
• Online Publication Date: Feb 23, 2024
• Publication Date: 2024
• Deposit Date: Mar 2, 2024
• Publicly Available Date: Mar 4, 2024
• Print ISSN: 1939-0114
• Electronic ISSN: 1939-0122
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 2024
• Article Number: 6651584
• DOI: https://doi.org/10.1155/2024/6651584
• Public URL: http://researchrepository.napier.ac.uk/Output/3529488