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Centralized and Distributed Detection of Compromised Smart Grid Devices using Machine Learning and Convolution Techniques
Author(s) -
Cengiz Kaygusuz
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.25148/etd.fidc007815
Subject(s) - testbed , computer science , smart grid , grid , distributed computing , convolution (computer science) , grid computing , embedded system , artificial intelligence , engineering , computer network , electrical engineering , geometry , mathematics , artificial neural network

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