On Evasion of Machine Learning-based Intrusion Detection in Smart Grids-Reference-Cited by-同舟云学术

On Evasion of Machine Learning-based Intrusion Detection in Smart Grids

Published:2023-10-31 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
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Author:

Mumrez Aneeqa¹,Sánchez Gustavo²,Elbez Ghada¹,Hagenmeyer Veit¹

Affiliation:

1. Institute for Automation and Applied Informatics (IAI) KASTEL Security Research Labs (SRL), Karlsruhe Institute of Technology (KIT)

2. Institute of Information Security and Dependability KASTEL Security Research Labs (SRL), Karlsruhe Institute of Technology (KIT)

Funder

Helmholtz Association

Publisher

IEEE

Link

Reference29 articles.

3. Evasion attacks against machine learning at test time;biggio;ECML/PKDD,2013

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2. Attacking Learning-based Models in Smart Grids: Current Challenges and New Frontiers;The 15th ACM International Conference on Future and Sustainable Energy Systems;2024-05-31