[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions
R Kaur, D Gabrijelčič, T Klobučar - Information Fusion, 2023 - Elsevier
Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
Federated learning for intrusion detection system: Concepts, challenges and future directions
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …
making its infrastructure more complex and heterogeneous. The predominated usage of …
A comprehensive review of recent advances in smart grids: A sustainable future with renewable energy resources
The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …
new era of a modernized network where the power generation, transmission, and …
[HTML][HTML] Security of smart manufacturing systems
N Tuptuk, S Hailes - Journal of manufacturing systems, 2018 - Elsevier
A revolution in manufacturing systems is underway: substantial recent investment has been
directed towards the development of smart manufacturing systems that are able to respond …
directed towards the development of smart manufacturing systems that are able to respond …
Cyber security of a power grid: State-of-the-art
The integration of computing and communication capabilities with the power grid has led to
numerous vulnerabilities in the cyber-physical system (CPS). This cyber security threat can …
numerous vulnerabilities in the cyber-physical system (CPS). This cyber security threat can …
Cyber-security in smart grid: Survey and challenges
Smart grid uses the power of information technology to intelligently deliver energy by using a
two-way communication and wisely meet the environmental requirements by facilitating the …
two-way communication and wisely meet the environmental requirements by facilitating the …
Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
A survey on security communication and control for smart grids under malicious cyber attacks
Smart grids (SGs), which can be classified into a class of networked distributed control
systems, are designed to deliver electricity from various plants through a communication …
systems, are designed to deliver electricity from various plants through a communication …
Machine learning-based intrusion detection for smart grid computing: A survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …
significantly applied and advanced the state-of-the-art system security and defense …
Detecting cyber attacks in industrial control systems using convolutional neural networks
M Kravchik, A Shabtai - Proceedings of the 2018 workshop on cyber …, 2018 - dl.acm.org
This paper presents a study on detecting cyber attacks on industrial control systems (ICS)
using convolutional neural networks. The study was performed on a Secure Water …
using convolutional neural networks. The study was performed on a Secure Water …