Water Distribution Systems Analysis Symposium–Battle of the Attack Detection Algorithms (BATADAL)

Author:

Aghashahi Mohsen1223,Sundararajan Raanju1223,Pourahmadi Mohsen1223,Banks M. Katherine1223

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

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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