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 …
[PDF][PDF] A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches
Background The Internet of Medical Things (IoMTs) is gradually replacing the traditional
healthcare system. However, little attention has been paid to their security requirements in …
healthcare system. However, little attention has been paid to their security requirements in …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
A supervised intrusion detection system for smart home IoT devices
E Anthi, L Williams, M Słowińska… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The proliferation in Internet of Things (IoT) devices, which routinely collect sensitive
information, is demonstrated by their prominence in our daily lives. Although such devices …
information, is demonstrated by their prominence in our daily lives. Although such devices …
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 …
Internet of things: Evolution, concerns and security challenges
The escalated growth of the Internet of Things (IoT) has started to reform and reshape our
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
Abstract The Internet of Things (IoT) is emerging as a new technology for the development of
various critical applications. However, these applications are still working on centralized …
various critical applications. However, these applications are still working on centralized …
Network flow based IoT botnet attack detection using deep learning
S Sriram, R Vinayakumar, M Alazab… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Governments around the globe are promoting smart city applications to enhance the quality
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
Intrusion detection system for industrial Internet of Things based on deep reinforcement learning
The Industrial Internet of Things has grown significantly in recent years. While implementing
industrial digitalization, automation, and intelligence introduced a slew of cyber risks, the …
industrial digitalization, automation, and intelligence introduced a slew of cyber risks, the …
Self-configurable cyber-physical intrusion detection for smart homes using reinforcement learning
The modern Internet of Things (IoT)-based smart home is a challenging environment to
secure: devices change, new vulnerabilities are discovered and often remain unpatched …
secure: devices change, new vulnerabilities are discovered and often remain unpatched …