Detection of Cyber-Attacks to Water Systems through Machine-Learning-Based Anomaly Detection in SCADA Data

Autor:	Zachary A. Barker, Bruce Campbell, M. Ehsan Shafiee, Amin Rasekh, Sarin E. Chandy
Rok vydání:	2017
Předmět:	010504 meteorology & atmospheric sciences SCADA Computer science 0208 environmental biotechnology Real-time computing Anomaly detection 02 engineering and technology 01 natural sciences 020801 environmental engineering 0105 earth and related environmental sciences
Zdroj:	World Environmental and Water Resources Congress 2017.
DOI:	10.1061/9780784480625.057
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ba5ea8406854ba9ffa7ed04e5405f82c https://doi.org/10.1061/9780784480625.057 Zobrazit plný text záznamu