Detection of Cyber Physical Attacks on Water Distribution Systems via Principal Component Analysis and Artificial Neural Networks-Reference-Cited by-同舟云学术

Detection of Cyber Physical Attacks on Water Distribution Systems via Principal Component Analysis and Artificial Neural Networks

Published:2017-05-18 Issue: Volume: Page:
ISSN:
Container-title:World Environmental and Water Resources Congress 2017
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Author:

Abokifa Ahmed A.¹¹¹¹,Haddad Kelsey¹¹¹¹,Lo Cynthia S.¹¹¹¹,Biswas Pratim¹¹¹¹

Affiliation:

1. Dept. of Energy, Environmental, and Chemical Engineering, Washington Univ., St. Louis.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784480625.063

Reference14 articles.

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3. DHS ICS-CERT. (2015). "U.S. Department of Homeland Security - Industrial Control Systems-Cyber Emergency Response Team Year in Review." 24.

4. Gao W. Morris T. Reaves B. and Richey D. (2010). "On SCADA control system command and response injection and intrusion detection." eCrime Researchers Summit IEEE 2010.

5. Hawkins D. M. (1980). Identification of outliers. Springer.

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