[HTML][HTML] Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets

E Gyamfi, A Jurcut - Sensors, 2022 - mdpi.com
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

[HTML][HTML] A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and …

A Khraisat, A Alazab - Cybersecurity, 2021 - Springer
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …

A lightweight supervised intrusion detection mechanism for IoT networks

S Roy, J Li, BJ Choi, Y Bai - Future Generation Computer Systems, 2022 - Elsevier
Abstract As the Internet of Things (IoT) is becoming increasingly popular, we have
experienced more security breaches that are associated with the connection of vulnerable …

[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review

A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …

Recent advancements in intrusion detection systems for the internet of things

ZA Khan, P Herrmann - Security and Communication Networks, 2019 - Wiley Online Library
Many Internet of Things (IoT) systems run on tiny connected devices that have to deal with
severe processor and energy restrictions. Often, the limited processing resources do not …

MidSiot: A multistage intrusion detection system for internet of things

N Dat-Thinh, H Xuan-Ninh… - … and Mobile Computing, 2022 - Wiley Online Library
Internet of Things (IoT) has been thriving in recent years, playing an important role in a
multitude of various domains, including industry 4.0, smart transportation, home automation …

[HTML][HTML] A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions

J Asharf, N Moustafa, H Khurshid, E Debie, W Haider… - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …

DL‐IDS: a deep learning–based intrusion detection framework for securing IoT

Y Otoum, D Liu, A Nayak - Transactions on Emerging …, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …

[HTML][HTML] Towards deep-learning-driven intrusion detection for the internet of things

G Thamilarasu, S Chawla - Sensors, 2019 - mdpi.com
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices,
applications, and communication networks are becoming increasingly connected and …