POSTER: A Semi-asynchronous Federated Intrusion Detection Framework for Power Systems-Reference-Cited by-同舟云学术

POSTER: A Semi-asynchronous Federated Intrusion Detection Framework for Power Systems

Published:2023-07-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Asia Conference on Computer and Communications Security
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Author:

Husnoo Muhammad Akbar¹^ORCID,Anwar Adnan¹^ORCID,Reda Haftu Tasew¹^ORCID,Hosseinzadeh Nasser²^ORCID

Affiliation:

1. Centre for Cyber Resilience and Trust (CREST), Deakin University, Australia

2. Centre for Smart Power and Energy Research (CSPER), Deakin University, Australia

Publisher

ACM

Reference8 articles.

1. B M Ruhul Amin , Adnan Anwar , and M. J. Hossain . 2018 . Distinguishing Between Cyber Injection and Faults Using Machine Learning Algorithms. In 2018 IEEE Region Ten Symposium (Tensymp). 19–24 . https://doi.org/10.1109/TENCONSpring.2018.8691899 10.1109/TENCONSpring.2018.8691899 B M Ruhul Amin, Adnan Anwar, and M. J. Hossain. 2018. Distinguishing Between Cyber Injection and Faults Using Machine Learning Algorithms. In 2018 IEEE Region Ten Symposium (Tensymp). 19–24. https://doi.org/10.1109/TENCONSpring.2018.8691899

2. Adnan Anwar , Abdun Mahmood , Biplob Ray , Md Apel Mahmud , and Zahir Tari . 2020. Machine Learning to Ensure Data Integrity in Power System Topological Network Database. 9 (Apr 2020 ), 693. Adnan Anwar, Abdun Mahmood, Biplob Ray, Md Apel Mahmud, and Zahir Tari. 2020. Machine Learning to Ensure Data Integrity in Power System Topological Network Database. 9 (Apr 2020), 693.

3. Adnan Anwar , Abdun Naser Mahmood , and Zubair Shah . 2015. A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid(CIKM ’15) . Association for Computing Machinery , New York, NY, USA , 1811 –1814. https://doi.org/10.1145/2806416.2806648 10.1145/2806416.2806648 Adnan Anwar, Abdun Naser Mahmood, and Zubair Shah. 2015. A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid(CIKM ’15). Association for Computing Machinery, New York, NY, USA, 1811–1814. https://doi.org/10.1145/2806416.2806648

4. Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures

5. Muhammad Akbar Husnoo , Adnan Anwar , Nasser Hosseinzadeh , Shama Naz Islam , Abdun Naser Mahmood , and Robin Doss . 2023. False data injection threats in active distribution systems: A comprehensive survey. Future Generation Computer Systems 140 (Mar 2023 ), 344–364. Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, and Robin Doss. 2023. False data injection threats in active distribution systems: A comprehensive survey. Future Generation Computer Systems 140 (Mar 2023), 344–364.

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