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Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation
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 …
(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
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 …
mechanisms for critical infrastructure such as the electric power grid and water treatment …
AI for cyberbiosecurity in water systems—A survey
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 …
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 …
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 …
combine software and physical components. These integrated systems have experienced …
[BUKU][B] Introduction to the Cyber Ranges
Introduction to the Cyber Ranges provides a comprehensive, integrative, easy-to-
comprehend overview of different aspects involved in the cybersecurity arena. It expands on …
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 …
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
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 …
approaches have been proposed to tackle the security challenges. Intrusion detection has …
Detection of cyber attacks on a water distribution testbed
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 …
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
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 …
disadvantage of using a system model-based approach for attack detection is that it could …