A causality-inspired approach for anomaly detection in a water treatment testbed
Critical infrastructure, such as water treatment facilities, largely relies on the effective
functioning of industrial control systems (ICSs). Due to the wide adoption of high-speed …
functioning of industrial control systems (ICSs). Due to the wide adoption of high-speed …
A semi-supervised framework for anomaly detection and data labeling for industrial control systems
To ensure uninterrupted service delivery in critical sectors like electricity, water, and oil,
safeguarding information systems against anomalies is imperative. Detecting anomalies …
safeguarding information systems against anomalies is imperative. Detecting anomalies …
An unsupervised framework for anomaly detection in a water treatment system
M Macas, C Wu - 2019 18th IEEE International Conference On …, 2019 - ieeexplore.ieee.org
Current Cyber-Physical Systems (CPSs) are sophisticated, complex, and equipped with
networked sensors and actuators. As such, they have become further exposed to cyber …
networked sensors and actuators. As such, they have become further exposed to cyber …
Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants
Accurate detection of process anomalies is crucial for maintaining reliable operations in
critical infrastructures such as water treatment plants. Traditional methods for creating …
critical infrastructures such as water treatment plants. Traditional methods for creating …
A hybrid physics-based data-driven framework for anomaly detection in industrial control systems
A method referred to as PbNN is proposed to detect cyber-physical attacks through the
identification of resulting anomalies in the process dynamics of the underlying ICS. Unlike …
identification of resulting anomalies in the process dynamics of the underlying ICS. Unlike …
A multilayer perceptron model for anomaly detection in water treatment plants
Early and accurate anomaly detection in critical infrastructure (CI), such as water treatment
plants and electric power grid, is necessary to avoid plant damage and service disruption …
plants and electric power grid, is necessary to avoid plant damage and service disruption …
[HTML][HTML] A hybrid behavior-and Bayesian network-based framework for cyber–physical anomaly detection
In recent years, the increasing Internet connectivity and heterogeneity of industrial protocols
have been raising the number and nature of cyber-attacks against Industrial Control …
have been raising the number and nature of cyber-attacks against Industrial Control …
AICrit: A unified framework for real-time anomaly detection in water treatment plants
Abstract Industrial Control Systems (ICS) in public infrastructure, such as water treatment
and distribution plants, have become a target of sophisticated cyber-attacks. Given the ever …
and distribution plants, have become a target of sophisticated cyber-attacks. Given the ever …
Super detector: An ensemble approach for anomaly detection in industrial control systems
Abstract Industrial Control Systems encompass supervisory systems (SCADA) and cyber-
physical components (sensors/actuators), which are typically deployed in critical …
physical components (sensors/actuators), which are typically deployed in critical …
AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems
Abstract Deep Neural Networks are emerging as effective techniques to detect sophisticated
cyber-attacks targeting Industrial Control Systems (ICSs). In general, these techniques focus …
cyber-attacks targeting Industrial Control Systems (ICSs). In general, these techniques focus …