Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review

A Nuhu, AFM Raffei, MF Ab Razak… - Mesopotamian Journal …, 2024 - mesopotamian.press
The explosive growth of Internet of Things (IoT) devices has led to escalating threats from
distributed denial of service (DDoS) attacks. Moreover, the scale and heterogeneity of IoT …

DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023 - mdpi.com
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

A distributed framework for distributed denial-of-service attack detection in internet of things environments using deep learning

WA Silas, L Nderu, D Ndirangu - International Journal of …, 2024 - inderscienceonline.com
Internet of things (IoT) networks dominate industries, homes, organisations, and other
aspects of life owing to their automation capabilities. However, IoT networks are vulnerable …

AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges

B Bala, S Behal - Computer science review, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …

Machine Learning Based Practical and Efficient DDoS Attacks Detection System for IoT

K Wehbi - 2022 - search.proquest.com
Abstract The increasing Distributed Denial of Service (DDoS) attacks on the Internet of
Things (IoT) is leading to the need for an efficient detection system. Although much research …

Ddos attack detection in iot networks using deep learning models combined with random forest as feature selector

MB Farukee, MSZ Shabit, MR Haque… - Advances in Cyber …, 2021 - Springer
Due to the major advancements and finesse earned in technology, the internet and
communication fields have seen a ground-breaking breakthrough by incorporating …

Hybrid feature selection for efficient detection of DDoS attacks in IoT

L Hong, K Wehbi, TH Alsalah - Proceedings of the 2022 6th International …, 2022 - dl.acm.org
The increasing Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) is
leading to the need for an efficient detection approach. Although much research has been …

Distributed Ensemble Method Using Deep Learning to Detect DDoS Attacks in IoT Networks

P Shukla, CR Krishna, NV Patil - Arabian Journal for Science and …, 2024 - Springer
The widespread adoption of Internet of Things (IoT) devices has increased exponentially in
recent years. Consequently, the security risks and vulnerabilities related to these unsecured …

IoT DDoS attacks detection using machine learning techniques: A Review

A Ashraf, WM Elmedany - … on Data Analytics for Business and …, 2021 - ieeexplore.ieee.org
Internet of things (IoT) is the paradigm that is revolutionizing our daily lives. It has become an
important part of our lives due to its ability to transform lives. More and more organizations …

Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks

FM Aswad, AMS Ahmed, NAM Alhammadi… - Journal of Intelligent …, 2023 - degruyter.com
With the rapid growth of informatics systems' technology in this modern age, the Internet of
Things (IoT) has become more valuable and vital to everyday life in many ways. IoT …