A scalable specification-agnostic multi-sensor anomaly detection system for IIoT environments

Author:

Aoudi Wissam,Almgren Magnus

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Safety, Risk, Reliability and Quality,Modeling and Simulation

Reference25 articles.

1. Truth will out: departure-based process-level detection of stealthy attacks on control systems;Aoudi,2018

2. Singular Spectrum Analysis for Time Series;Golyandina,2013

3. The nuts and bolts of deploying process-level IDS in industrial control systems;Almgren,2018

4. Multivariate singular spectrum analysis: a general view and new vector forecasting approach;Hassani;Int. J. Energy Stat.,2013

5. H. Hassani, R. Mahmoudvand, Multivariate Singular Spectrum Analysis, Palgrave Macmillan UK, London, pp. 49–86. 10.1057/978-1-137-40951-5_2

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2. Unsupervised Deep Learning for IoT Time Series;IEEE Internet of Things Journal;2023-08-15

3. Anomaly classification in industrial Internet of things: A review;Intelligent Systems with Applications;2023-05

4. USMD: UnSupervised Misbehaviour Detection for Multi-Sensor Data;IEEE Transactions on Dependable and Secure Computing;2023-01-01

5. A Novel Approach for Network Vulnerability Analysis in IIoT;Computer Systems Science and Engineering;2023

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