HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems
Alwan, A., Baravalle, A., Ciupala, A. and Falcarin, P. 2020. HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems. FMEC2020: International conference on Fog and Mobile Edge Computing. Paris, FR 30 Jun - 03 Jul 2020 IEEE.
|Authors||Alwan, A., Baravalle, A., Ciupala, A. and Falcarin, P.|
Smart cities rely on large-scale heterogeneous distributed systems known as Cyber-Physical Systems (CPS). Information systems based on CPS typically analyse a massive amount of data collected from various data sources that operate under noisy and dynamic conditions. How to determine the quality and reliability of such data is an open research problem that concerns the overall system safety, reliability and security.
|Conference||FMEC2020: International conference on Fog and Mobile Edge Computing|
|Accepted author manuscript|
File Access Level
|Publication process dates|
|Accepted||21 Feb 2020|
|Deposited||24 Jun 2020|
|Copyright holder||© 2020 IEEE|
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