SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
Agnostic CH-DT technique for SCADA network high-dimensional data-aware intrusion detection system
LAC Ahakonye, CI Nwakanma… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The pervasiveness in the Industrial Internet of Things (IIoT) due to the application of
supervisory control and data acquisition (SCADA) has led to the growth of heterogeneous …
supervisory control and data acquisition (SCADA) has led to the growth of heterogeneous …
A classy multifacet clustering and fused optimization based classification methodologies for SCADA security
AO Khadidos, H Manoharan, S Selvarajan… - Energies, 2022 - mdpi.com
Detecting intrusions from the supervisory control and data acquisition (SCADA) systems is
one of the most essential and challenging processes in recent times. Most of the …
one of the most essential and challenging processes in recent times. Most of the …
Ensemble based approach for intrusion detection using extra tree classifier
BS Bhati, CS Rai - … Computing in Engineering: Select Proceedings of …, 2020 - Springer
With the swift growth of Internet technology, various types of attacks and intrusions are taking
place over the Internet. Intrusion Detection Systems (IDS) are widely used to detect attacks …
place over the Internet. Intrusion Detection Systems (IDS) are widely used to detect attacks …
A novel feature extraction methodology using Siamese convolutional neural networks for intrusion detection
S Moustakidis, P Karlsson - Cybersecurity, 2020 - Springer
Intrusion detection systems (IDS) can play a significant role in detecting security threats or
malicious attacks that aim to steal information and/or corrupt network protocols. To deal with …
malicious attacks that aim to steal information and/or corrupt network protocols. To deal with …
Intrusion detection using big data and deep learning techniques
In this paper, Big Data and Deep Learning Techniques are integrated to improve the
performance of intrusion detection systems. Three classifiers are used to classify network …
performance of intrusion detection systems. Three classifiers are used to classify network …
A review of research work on network-based scada intrusion detection systems
SVB Rakas, MD Stojanović… - IEEE Access, 2020 - ieeexplore.ieee.org
Specific intrusion detection systems (IDSs) are needed to secure modern supervisory control
and data acquisition (SCADA) systems due to their architecture, stringent real-time …
and data acquisition (SCADA) systems due to their architecture, stringent real-time …
The effect of dataset imbalance on the performance of scada intrusion detection systems
Integrating IoT devices in SCADA systems has provided efficient and improved data
collection and transmission technologies. This enhancement comes with significant security …
collection and transmission technologies. This enhancement comes with significant security …
Comparative analysis of intrusion detection systems and machine learning based model analysis through decision tree
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
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 …