Enhancing Power Grid Security by Detecting Relay Setting Manipulation Attacks with Machine Learning-Reference-Cited by-同舟云学术

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Enhancing Power Grid Security by Detecting Relay Setting Manipulation Attacks with Machine Learning

Published:2024-05-03 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
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Author:

Varghese Samya Rebecca Jiji¹,Venu Ankita¹,Vijaya Chandrakala K.R.M.²,Gireesh Kumar T¹,Arun Shankar V.K.³

Affiliation:

1. Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India

2. Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,India

3. Danfoss Industries Private Limited,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574534/10574536/10574573.pdf?arnumber=10574573

Reference16 articles.

1. Adaptive relay setting for stand-alone digital distance protection

2. Machine learning for power system disturbance and cyber-attack discrimination

3. Securing the Power Grid: Protecting Smart Grids and Connected Power Systems from Cyberattacks

4. Detection of Network Attacks using Machine Learning and Deep Learning Models

5. Neighbor Attack Detection in Internet of Things

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