Water Distribution Systems Analysis Symposium–Battle of the Attack Detection Algorithms (BATADAL)
Author:
Affiliation:
1. Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX.
2. Dept. of Statistics, Texas A&M Univ., College Station, TX.
3. Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX
Publisher
American Society of Civil Engineers
Link
http://ascelibrary.org/doi/pdf/10.1061/9780784480595.010
Reference39 articles.
1. Survey on Anomaly Detection using Data Mining Techniques;Agrawal S.;Procedia Computer Science,2015
2. Cyber Security of Water SCADA Systems—Part I: Analysis and Experimentation of Stealthy Deception Attacks
3. Cyber Security of Water SCADA Systems—Part II: Attack Detection Using Enhanced Hydrodynamic Models
4. Scalable Anomaly Detection for Smart City Infrastructure Networks;Difallah D. E.;IEEE Internet Computing,2013
5. 5- Hill D. J. Minsker B. S. and Amir E. (2009). "Real-time Bayesian anomaly detection in streaming environmental data." Water Resources Research 45(4).
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