Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G

M Vaezi, A Azari, SR Khosravirad… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …

A comprehensive study of DDoS attacks over IoT network and their countermeasures

P Kumari, AK Jain - Computers & Security, 2023 - Elsevier
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …

Adaptive machine learning based distributed denial-of-services attacks detection and mitigation system for SDN-enabled IoT

M Aslam, D Ye, A Tariq, M Asad, M Hanif, D Ndzi… - Sensors, 2022 - mdpi.com
The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …

Machine learning approaches for combating distributed denial of service attacks in modern networking environments

A Aljuhani - IEEE Access, 2021 - ieeexplore.ieee.org
A distributed denial of service (DDoS) attack represents a major threat to service providers.
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …

A novel attack detection scheme for the industrial internet of things using a lightweight random neural network

S Latif, Z Zou, Z Idrees, J Ahmad - IEEE access, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …

Toward software-defined networking-based IoT frameworks: A systematic literature review, taxonomy, open challenges and prospects

S Siddiqui, S Hameed, SA Shah, I Ahmad… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is characterized as one of the leading actors for the next evolutionary
stage in the computing world. IoT-based applications have already produced a plethora of …

A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms

RV Mendonça, JC Silva, RL Rosa, M Saadi… - Expert …, 2022 - Wiley Online Library
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …

Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking

Ö Tonkal, H Polat, E Başaran, Z Cömert, R Kocaoğlu - Electronics, 2021 - mdpi.com
The Software-Defined Network (SDN) is a new network paradigm that promises more
dynamic and efficiently manageable network architecture for new-generation networks. With …

Implementation of intrusion detection model for DDoS attacks in Lightweight IoT Networks

SA Khanday, H Fatima, N Rakesh - Expert Systems with Applications, 2023 - Elsevier
Protecting IoT networks and infrastructure is one of the top priorities in today's computing
industry because of the unnerving and exponential development in cyberattacks and …

Machine-learning-enabled ddos attacks detection in p4 programmable networks

F Musumeci, AC Fidanci, F Paolucci, F Cugini… - Journal of Network and …, 2022 - Springer
Abstract Distributed Denial of Service (DDoS) attacks represent a major concern in modern
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …