Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems

Recently, reconstruction-based anomaly detection was proposed as an effective technique to detect attacks in dynamic industrial control networks. Unlike classical network anomaly detectors that observe the network traffic, reconstruction-based detectors operate on the measured sensor data, leveraging physical process models learned a priori....

A comparison between artificial neural networks and ARIMA models in traffic forecasting

Motivation: Traffic forecasting is becoming a vital component of our travel experience. It plays a key role in intelligent transportation systems that allow us to make smarter use of existing transportation networks. This study focuses on the possible role of artificial neural networks in these systems and what data can be best feed in to them...