Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is sha** the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices
Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …
information technology, while the exponentially increasing number of tiny, connected …
An empirical study on system level aspects of Internet of Things (IoT)
Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and
Communication technologies. The purpose of the IoT is to provide seamless services to …
Communication technologies. The purpose of the IoT is to provide seamless services to …
[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 …
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 …
[PDF][PDF] Towards machine learning based intrusion detection in IoT networks
The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart
nodes that communicate with each other without human intervention. In recent years, IoT …
nodes that communicate with each other without human intervention. In recent years, IoT …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
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 …
applications, databases, services, and people at work. The IIoT is improving our lives in …
Attention based multi-agent intrusion detection systems using reinforcement learning
Designing an effective network intrusion system (IDS) is a challenging problem because of
the emergence of a large number of novel attacks and heterogeneous network applications …
the emergence of a large number of novel attacks and heterogeneous network applications …
TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection
With recent advances in the Internet of Things (IoT) technology, more people can have
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …