Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation

GR MR, CM Ahmed, A Mathur - Cybersecurity, 2021 - Springer
Gradual increase in the number of successful attacks against Industrial Control Systems
(ICS) has led to an urgent need to create defense mechanisms for accurate and timely …

Challenges in machine learning based approaches for real-time anomaly detection in industrial control systems

CM Ahmed, GR MR, AP Mathur - Proceedings of the 6th ACM on cyber …, 2020 - dl.acm.org
Data-centric approaches are becoming increasingly common in the creation of defense
mechanisms for critical infrastructure such as the electric power grid and water treatment …

AI for cyberbiosecurity in water systems—A survey

D Sobien, MO Yardimci, MBT Nguyen, WY Mao… - … : A new field to deal with …, 2023 - Springer
Abstract The use of Artificial Intelligence (AI) is growing in areas where decisions and
consequences have high-stakes such as larger scale software, critical infrastructure, and …

Contrastive learning enhanced by graph neural networks for Universal Multivariate Time Series Representation

X Wang, Q **ng, H **ao, M Ye - Information Systems, 2024 - Elsevier
Analyzing multivariate time series data is crucial for many real-world issues, such as power
forecasting, traffic flow forecasting, industrial anomaly detection, and more. Recently …

Simulators and Testbeds for IIoT Development and Validation

N Jeffrey, Q Tan, JR Villar - 2022 IEEE International IOT …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) and Industrial Internet of Things (IIoT) are integrated systems that
combine software and physical components. These integrated systems have experienced …

[BUKU][B] Introduction to the Cyber Ranges

B Pandey, S Ahmad - 2022 - taylorfrancis.com
Introduction to the Cyber Ranges provides a comprehensive, integrative, easy-to-
comprehend overview of different aspects involved in the cybersecurity arena. It expands on …

Survey on methodology of intrusion detection in industrial control system based on artificial intelligence

L Li, Z Fu, G Zou, Z Mu, Q Zhang… - … on Computers and …, 2022 - ieeexplore.ieee.org
With the increasingly close connection between the industrial control system and the
Internet, the industrial control system are facing more and more cyber threats. Intrusion …

Curse of system complexity and virtue of operational invariants: machine learning based system modeling and attack detection in CPS

MO Shahid, CM Ahmed, VR Palleti… - 2022 IEEE Conference …, 2022 - ieeexplore.ieee.org
Cyber Physical Systems (CPS) security has gained a lot of interest in recent years. Different
approaches have been proposed to tackle the security challenges. Intrusion detection has …

Detection of cyber attacks on a water distribution testbed

M Jia, P Zhang - 2022 IEEE Conference on Control Technology …, 2022 - ieeexplore.ieee.org
The increasingly networking of sensors and actuators in critical infrastructures improves the
flexibility, but also raises security challenges. This paper presents a strategy to detect cyber …

Bank of models: Sensor attack detection and isolation in industrial control systems

CM Ahmed, J Zhou - … Security: 16th International Conference, CRITIS 2021 …, 2021 - Springer
Attacks on sensor measurements can take the system to an unwanted state. The
disadvantage of using a system model-based approach for attack detection is that it could …