Combining ensemble methods and social network metrics for improving accuracy of OCSVM on intrusion detection in SCADA systems

LA Maglaras, J Jiang, TJ Cruz - Journal of Information Security and …, 2016 - Elsevier
Abstract Modern Supervisory Control and Data Acquisition (SCADA) systems used by the
electric utility industry to monitor and control electric power generation, transmission and …

A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks

H Polat, M Türkoğlu, O Polat, A Şengür - Expert Systems with Applications, 2022 - Elsevier
Abstract Supervisory Control and Data Acquisition (SCADA) systems supervise and monitor
critical infrastructures and industrial processes. However, SCADA systems running on …

Machine learning-based intrusion detection for SCADA systems in healthcare

T Öztürk, Z Turgut, G Akgün, C Köse - Network Modeling Analysis in Health …, 2022 - Springer
Energy distribution systems and cyber-physical systems brought together information
technology, electrical and mechanical engineering in an integrated manner. This cybernetic …

A cyber-physical model for SCADA system and its intrusion detection

C Sheng, Y Yao, Q Fu, W Yang - Computer Networks, 2021 - Elsevier
Abstract Supervisory Control and Data Acquisition (SCADA) systems are becoming
increasingly susceptible to the sophisticated and targeted cyber attacks which are typically …

[引用][C] A Comprehensive Analysis of Machine Learning Algorithms in Intrusion Detection Systems

BR Maddireddy, BR Maddireddy - Journal Environmental Sciences And Technology, 2024

An enhanced optimization based algorithm for intrusion detection in SCADA network

S Shitharth - Computers & Security, 2017 - Elsevier
Abstract Supervisory Control and Data Acquisition (SCADA) systems are widely used in
many applications including power transmission and distribution for situational awareness …

Security evaluation of two intrusion detection systems in smart grid SCADA environment

VK Singh, H Ebrahem… - 2018 North American …, 2018 - ieeexplore.ieee.org
The increased complexity and interconnectivity of SCADA infrastructure in the power system
have exposed it to the multitude of vulnerabilities. There is a growing emphasis towards …

Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges

AMY Koay, RKL Ko, H Hettema, K Radke - Journal of Intelligent …, 2023 - Springer
The advent of Industry 4.0 has led to a rapid increase in cyber attacks on industrial systems
and processes, particularly on Industrial Control Systems (ICS). These systems are …

The effect of dataset imbalance on the performance of scada intrusion detection systems

A Balla, MH Habaebi, EAA Elsheikh, MR Islam… - Sensors, 2023 - mdpi.com
Integrating IoT devices in SCADA systems has provided efficient and improved data
collection and transmission technologies. This enhancement comes with significant security …

[PDF][PDF] SCADA-specific intrusion detection/prevention systems: a survey and taxonomy

B Zhu, S Sastry - Proceedings of the 1st workshop on secure …, 2010 - ptolemy.berkeley.edu
Due to standardization and connectivity to the Internet, Supervisory Control and Data
Acquisition (SCADA) systems now face the threat of cyber attacks. SCADA systems were …