Evasion Attacks in Smart Power Grids: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Evasion Attacks in Smart Power Grids: A Deep Reinforcement Learning Approach

Published:2024-01-06 Issue: Volume: Page:708-713
ISSN:
Container-title:2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)
language:
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Author:

El-Toukhy Ahmed T.¹,Mahmoud Mohamed¹,Bondok Atef H.¹,Fouda Mostafa M.²,Alsabaan Maazen³

Affiliation:

1. Tennessee Tech. University,Department of Electrical and Computer Engineering,Cookeville,TN,USA

2. Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA

3. King Saud University,Department of Computer Engineering,Riyadh,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10454139/10454627/10454768.pdf?arnumber=10454768

Reference21 articles.

1. A Novel Evasion Attack Against Global Electricity Theft Detectors and a Countermeasure

2. A Novel Evasion Attack Against Global Electricity Theft Detectors and a Countermeasure

3. Privacy-Preserving and Communication-Efficient Energy Prediction Scheme Based on Federated Learning for Smart Grids

4. Detecting Electricity Theft Cyber-Attacks in AMI Networks Using Deep Vector Embeddings

5. PMBFE: Efficient and Privacy-Preserving Monitoring and Billing Using Functional Encryption for AMI Networks

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. Securing Smart Grids: Deep Reinforcement Learning Approach for Detecting Cyber-Attacks;2024 International Conference on Smart Applications, Communications and Networking (SmartNets);2024-05-28

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