Internet of Things intrusion detection systems: a comprehensive review and future directions
A Heidari, MA Jabraeil Jamali - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) is a paradigm that connects objects to the Internet as a
whole and enables them to work together to achieve common objectives, such as innovative …
whole and enables them to work together to achieve common objectives, such as innovative …
IoT threat detection advances, challenges and future directions
It is predicted that, the number of connected Internet of Things (IoT) devices will rise to 38.6
billion by 2025 and an estimated 50 billion by 2030. The increased deployment of IoT …
billion by 2025 and an estimated 50 billion by 2030. The increased deployment of IoT …
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 …
attention and technical revolution in recent years. Significantly, IoT connects and integrates …
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
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 …
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
A signature-based intrusion detection system for the internet of things
Internet of Things (IoT) is envisioned as a transformative approach with a wide range of
applications in various sectors such as home automation, industrial control, and agriculture …
applications in various sectors such as home automation, industrial control, and agriculture …
[HTML][HTML] Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
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 …
increase of network data and placed a high computation complexity across various …
[HTML][HTML] Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
Anomaly-based intrusion detection approach for IoT networks using machine learning
P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …
cities or smart home facilitate communication between various objects. Nevertheless, this …
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 …
experienced more security breaches that are associated with the connection of vulnerable …
IDERES: Intrusion detection and response system using machine learning and attack graphs
JR Rose, M Swann, KP Grammatikakis, I Koufos… - Journal of Systems …, 2022 - Elsevier
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …
ranging from improved efficiency to higher productivity. However, the limited resources and …