A Defensive Approach Against Pricing False Data Injection Attacks Based On Incentive-Based Demand Response And Network Reconfiguration-Reference-Cited by-同舟云学术

A Defensive Approach Against Pricing False Data Injection Attacks Based On Incentive-Based Demand Response And Network Reconfiguration

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 12th Smart Grid Conference (SGC)
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Author:

Ghaedi Mahdi¹,Eslaminia Nasim²,Delkhosh Hamed¹,Moghaddam Mohsen Parsa¹

Affiliation:

1. Tarbiat Modares University,Department of Electrical and Computer Engineering,Tehran,Iran

2. Ferdowsi University,Department of Electrical Engineering,Mashhad,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9998875/9998876/09998889.pdf?arnumber=9998889

Reference18 articles.

1. Stealthy and profitable data injection attack on real time electricity market with network model uncertainties;hamed;Electric Power Systems Research,2022

2. An optimization-based approach to recover the detected attacked grid variables after false data injection attack;mohsen;IEEE Transactions on Smart Grid,2021

3. Adversarial Machine Learning Against False Data Injection Attack Detection for Smart Grid Demand Response;zhang;2021 IEEE International Conference on Communications Control and Computing Technologies for Smart Grids (SmartGridComm),2021

4. Attacks on electricity markets;carlos;2019 57th Annual Allerton Conference on Communication Control and Computing (Allerton),2019

5. Detection and Mitigation of a Combined Cyber Attack on Automatic Generation Control;tina;Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran,2022

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