Enhanced Anomaly Detection for Cyber-Attack Detection in Smart Water Distribution Systems-Reference-Cited by-同舟云学术

Enhanced Anomaly Detection for Cyber-Attack Detection in Smart Water Distribution Systems

Published:2022-08-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Conference on Availability, Reliability and Security
language:
Short-container-title:

Author:

Stojanović Branka¹,Neuschmied Helmut¹,Winter Martin¹,Kleb Ulrike²

Affiliation:

1. DIGITAL – Institute for Information and Communication Technologies, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Austria

2. POLICIES – Institute for Economic and Innovation, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3538969.3543796

Reference25 articles.

1. Real-Time Identification of Cyber-Physical Attacks on Water Distribution Systems via Machine Learning–Based Anomaly Detection Techniques

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

3. Mohsen Aghashahi , Raanju Sundararajan , Mohsen Pourahmadi , and M Katherine Banks . 2017 . Water Distribution Systems Analysis Symposium–Battle of the Attack Detection Algorithms (BATADAL). In World Environmental and Water Resources Congress 2017. 101–108. Mohsen Aghashahi, Raanju Sundararajan, Mohsen Pourahmadi, and M Katherine Banks. 2017. Water Distribution Systems Analysis Symposium–Battle of the Attack Detection Algorithms (BATADAL). In World Environmental and Water Resources Congress 2017. 101–108.

4. A. Alshamrani S. Myneni A. Chowdhary and D. Huang. 2019. A Survey on Advanced Persistent Threats: Techniques Solutions Challenges and Research Opportunities. IEEE Communications Surveys Tutorials(2019). https://doi.org/10.1109/COMST.2019.2891891 10.1109/COMST.2019.2891891

5. A. Alshamrani S. Myneni A. Chowdhary and D. Huang. 2019. A Survey on Advanced Persistent Threats: Techniques Solutions Challenges and Research Opportunities. IEEE Communications Surveys Tutorials(2019). https://doi.org/10.1109/COMST.2019.2891891

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anomaly Behavior Analysis of Smart Water Treatment Facility Service: Design, Analysis, and Evaluation;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04