A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions
One of the significant challenges that smart grid networks face is cyber-security. Several
studies have been conducted to highlight those security challenges. However, the majority …
studies have been conducted to highlight those security challenges. However, the majority …
Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
Cyber-security and reinforcement learning—a brief survey
AMK Adawadkar, N Kulkarni - Engineering Applications of Artificial …, 2022 - Elsevier
This paper presents a comprehensive literature review on Reinforcement Learning (RL)
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
A secured advanced management architecture in peer-to-peer energy trading for multi-microgrid in the stochastic environment
MA Mohamed, A Hajjiah, KA Alnowibet… - IEEE …, 2021 - ieeexplore.ieee.org
Careful consideration of grid developments illustrates the fundamental changes in its
structure which its developments have taken place gradually for a long time. One of the most …
structure which its developments have taken place gradually for a long time. One of the most …
Advances in IoT security: Vulnerabilities, enabled criminal services, attacks, and countermeasures
Although the Internet of Things (IoT) incorporates millions of heterogeneous devices to
provide advanced intelligent services and has greatly impacted our lives over time, it has a …
provide advanced intelligent services and has greatly impacted our lives over time, it has a …
TROVE: A context-awareness trust model for VANETs using reinforcement learning
J Guo, X Li, Z Liu, J Ma, C Yang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Vehicular networks have become a visible reality enabling information sharing between
vehicles to enhance driving safety and provide value-added services to drivers and …
vehicles to enhance driving safety and provide value-added services to drivers and …
Fed-inforce-fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks
Abstract Internet of Medical Things (IoMT) has emerged as a combination of sensors,
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …
and capabilities has received significant attention from researchers and are being deployed …
Deep reinforcement learning-based modulation and coding scheme selection in cognitive heterogeneous networks
We consider a cognitive heterogeneous network (HetNet), in which multiple pairs of
secondary users adopt sensing-based approaches to coexist with a pair of primary users on …
secondary users adopt sensing-based approaches to coexist with a pair of primary users on …
Intrusion detection systems: A state-of-the-art taxonomy and survey
M Alkasassbeh, S Al-Haj Baddar - Arabian Journal for Science and …, 2023 - Springer
Abstract Intrusion Detection Systems (IDSs) have become essential to the sound operations
of networks. These systems have the potential to identify and report deviations from normal …
of networks. These systems have the potential to identify and report deviations from normal …