Aquila Optimization with Machine Learning-Based Anomaly Detection Technique in Cyber-Physical Systems

Distributed Machine Learning for Cyber-Physical Systems

Wireless sensor networks (WSN) are increasingly used for environmental monitoring over extended periods of time. To facilitate deployments in remote areas, sensor nodes are typically small, solar-powered devices with limited computational capabilities. Over the duration of the deployment, harsh weather conditions can lead to problems like mis-calibration or build-up of dust on sensors and solar...

Compositional Falsification of Cyber-Physical Systems with Machine Learning Components

Cyber-physical systems (CPS), such as automotive systems, are starting to include sophisticated machine learning (ML) components. Their correctness, therefore, depends on properties of the inner ML modules. While learning algorithms aim to generalize from examples, they are only as good as the examples provided, and recent efforts have shown that they can produce inconsistent output under small...

Anomaly detection with Machine learning

A Product Machine Model for Anomaly Detection of Interposition Attacks on Cyber-Physical Systems

In this paper we propose an anomaly intrusion detection model based on shuffle operation and product machines targeting persistent interposition attacks on control systems. These attacks actually are undetectable by the most advanced system call monitors as they issue no system calls and are stealthy enough to transfer control to hijacked library functions without letting their saved instructio...

On the Learning of Timing Behavior for Anomaly Detection in Cyber-Physical Production Systems

Model-based anomaly detection approaches by now have established themselves in the field of engineering sciences. Algorithms from the field of artificial intelligence and machine learning are used to identify a model automatically based on observations. Many algorithms have been developed to manage different tasks such as monitoring and diagnosis. However, the usage of the factor of time in mod...