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 …

Iot traffic-based DDoS attacks detection mechanisms: A comprehensive review

P Shukla, CR Krishna, NV Patil - The Journal of Supercomputing, 2024 - Springer
Abstract The Internet of Things (IoT) has emerged as an inevitable part of human life, that
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …

On the dependability of 6G networks

I Ahmad, F Rodriguez, J Huusko, K Seppänen - Electronics, 2023 - mdpi.com
Sixth-generation communication networks must be highly dependable due to the foreseen
connectivity of critical infrastructures through them. Dependability is a compound metric of …

Traffic anomaly detection in wireless sensor networks based on principal component analysis and deep convolution neural network

C Yao, Y Yang, K Yin, J Yang - IEEE Access, 2022 - ieeexplore.ieee.org
With the popularity of wireless networks, wireless sensor networks (WSNs) have advanced
rapidly, and their flexibility and ease of deployment have resulted in more security concerns …

Detection of unknown ddos attack using convolutional neural networks featuring geometrical metric

CS Shieh, TT Nguyen, MF Horng - Mathematics, 2023 - mdpi.com
DDoS attacks remain a persistent cybersecurity threat, blocking services to legitimate users
and causing significant damage to reputation, finances, and potential customers. For the …

Detection of Denial-of-Service Attack in Wireless Sensor Networks: A lightweight Machine Learning Approach

MA Elsadig - IEEE Access, 2023 - ieeexplore.ieee.org
The characteristics and performance of wireless sensor networks (WSNs) are the main
reasons for their rapid expansion in various fields. However, these networks are extremely …

DDoS attack detection and classification using hybrid model for multicontroller SDN

TG Gebremeskel, KA Gemeda… - Wireless …, 2023 - Wiley Online Library
A software‐defined network (SDN) brings a lot of advantages to the world of networking
through flexibility and centralized management; however, this centralized control makes it …

[HTML][HTML] A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks

GAL Mukhaini, M Anbar, S Manickam… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) connects daily use devices to the Internet, such as
home appliances, health care equipment, sensors, and industrial devices. Concurrently …

GLD‐Net: Deep Learning to Detect DDoS Attack via Topological and Traffic Feature Fusion

W Guo, H Qiu, Z Liu, J Zhu… - Computational Intelligence …, 2022 - Wiley Online Library
Distributed denial of service (DDoS) attacks are the most common means of cyberattacks
against infrastructure, and detection is the first step in combating them. The current DDoS …

Recent Advancements in Machine Learning for Cybercrime Prediction

L Elluri, V Mandalapu, P Vyas, N Roy - Journal of Computer …, 2023 - Taylor & Francis
Cybercrime is a growing threat to organizations and individuals worldwide, with criminals
using sophisticated techniques to breach security systems and steal sensitive data. This …