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 …
Internet of things (IoT) security dataset evolution: Challenges and future directions
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection
R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
Host-based IDS: A review and open issues of an anomaly detection system in IoT
Abstract The Internet of Things (IoT) envisions a smart environment powered by connectivity
and heterogeneity where ensuring reliable services and communications across multiple …
and heterogeneity where ensuring reliable services and communications across multiple …
[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …
security of interconnected devices and networks. This necessitates the use of efficient …
Deep embedded median clustering for routing misbehaviour and attacks detection in ad-hoc networks
A Rajendran, N Balakrishnan, P Ajay - Ad Hoc Networks, 2022 - Elsevier
Due to the properties of ad-hoc networks, it appears that designing sophisticated defence
schemes with more computing capital is impossible in most situations. Recently, an …
schemes with more computing capital is impossible in most situations. Recently, an …
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
A systematic literature review on machine and deep learning approaches for detecting attacks in RPL-based 6LoWPAN of internet of things
The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6
Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in …
Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in …