[HTML][HTML] A comprehensive review of AI based intrusion detection system
T Sowmya, EAM Anita - Measurement: Sensors, 2023 - Elsevier
In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …
Intrusion detection system for IEC 60870-5-104 based SCADA networks
Increased complexity and interconnectivity of Supervisory Control and Data Acquisition
(SCADA) systems in Smart Grids potentially means greater susceptibility to malicious …
(SCADA) systems in Smart Grids potentially means greater susceptibility to malicious …
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
A network intrusion detection system (NIDS) is a solution that mitigates the threat of attacks
on a network. The success of a NIDS depends on the success of its algorithm and the …
on a network. The success of a NIDS depends on the success of its algorithm and the …
HML-IDS: A hybrid-multilevel anomaly prediction approach for intrusion detection in SCADA systems
Critical infrastructures, eg, electricity generation and dispersal networks, chemical
processing plants, and gas distribution, are governed and monitored by supervisory control …
processing plants, and gas distribution, are governed and monitored by supervisory control …
A novel intrusion detection mechanism for scada systems which automatically adapts to network topology changes
Abstract Industrial Control Systems (ICS) are getting more vulnerable as they become
increasingly interconnected with other systems. Industrial Internet of Things (IIoT) will bring …
increasingly interconnected with other systems. Industrial Internet of Things (IIoT) will bring …
A comparative analysis of supervised and unsupervised models for detecting attacks on the intrusion detection systems
T Talaei Khoei, N Kaabouch - Information, 2023 - mdpi.com
Intrusion Detection Systems are expected to detect and prevent malicious activities in a
network, such as a smart grid. However, they are the main systems targeted by cyber …
network, such as a smart grid. However, they are the main systems targeted by cyber …
M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning
AV Turukmane, R Devendiran - Computers & Security, 2024 - Elsevier
The intrusions are increasing daily, so there is a huge amount of privacy violations, financial
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …
A review on challenges and future research directions for machine learning-based intrusion detection system
Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …
can identify network attacks. One of the important strategies is to supervise the network …
A SCADA testbed for investigating cyber security vulnerabilities in critical infrastructures
A Tesfahun, DL Bhaskari - Automatic Control and Computer Sciences, 2016 - Springer
Abstract Supervisory Control and Data Acquisition (SCADA) systems are widely used in
critical infrastructures such as water distribution networks, electricity generation and …
critical infrastructures such as water distribution networks, electricity generation and …
A systematic and comprehensive survey of recent advances in intrusion detection systems using machine learning: Deep learning, datasets, and attack taxonomy
Recently, intrusion detection systems (IDS) have become an essential part of most
organisations' security architecture due to the rise in frequency and severity of network …
organisations' security architecture due to the rise in frequency and severity of network …