A survey on recent approaches in intrusion detection system in IoTs
Internet of Things (IoTs) are Internet-connected devices that integrate physical objects and
internet in diverse areas of life like industries, home automation, hospitals and environment …
internet in diverse areas of life like industries, home automation, hospitals and environment …
Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks
M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
An intrusion detection system using BoT-IoT
S Alosaimi, SM Almutairi - Applied Sciences, 2023 - mdpi.com
The rapid growth of the Internet of Things (IoT) has led to an increased automation and
interconnectivity of devices without requiring user intervention, thereby enhancing the …
interconnectivity of devices without requiring user intervention, thereby enhancing the …
A hierarchical hybrid intrusion detection approach in IoT scenarios
Internet of Things (IoT) fosters unprecedented network heterogeneity and dynamicity, thus
increasing the variety and the amount of related vulnerabilities. Hence, traditional security …
increasing the variety and the amount of related vulnerabilities. Hence, traditional security …
Intrusion detection in IoT networks using deep learning algorithm
The internet has become an inseparable part of human life, and the number of devices
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …
Deep learning in IoT intrusion detection
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …
and sensors from across the globe are interconnected in a global grid, and distributed …
DRaNN: A deep random neural network model for intrusion detection in industrial IoT
Industrial Internet of Things (IIoT) has arisen as an emerging trend in the industrial sector.
Millions of sensors present in IIoT networks generate a massive amount of data that can …
Millions of sensors present in IIoT networks generate a massive amount of data that can …
Cross layer-based intrusion detection based on network behavior for IoT
A Amouri, VT Alaparthy… - 2018 IEEE 19th Wireless …, 2018 - ieeexplore.ieee.org
The intrusion detection systems gained major significance in the field of internet of things
(IoT) as the communicating entities could reach thousands of nodes. An intrusion detection …
(IoT) as the communicating entities could reach thousands of nodes. An intrusion detection …
A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges
Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as
academic field. The objective of IoT is to combine the physical environment with the cyber …
academic field. The objective of IoT is to combine the physical environment with the cyber …
A heuristic intrusion detection system for Internet-of-Things (IoT)
AH Qureshi, H Larijani, J Ahmad, N Mtetwa - … Computing: Proceedings of …, 2019 - Springer
Today, digitally connected devices are involved in every aspect of life due to the
advancements in Internet-of-Things (IoT) paradigm. Recently, it has been a driving force for …
advancements in Internet-of-Things (IoT) paradigm. Recently, it has been a driving force for …