Intrusion detection and mitigation of attacks in microgrid using enhanced deep belief network-Reference-Cited by-同舟云学术

Intrusion detection and mitigation of attacks in microgrid using enhanced deep belief network

Published:2022-01-22 Issue: Volume: Page:1-23
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Durairaj Danalakshmi¹^ORCID,Venkatasamy Thiruppathy Kesavan²^ORCID,Mehbodniya Abolfazl³^ORCID,Umar Syed⁴^ORCID,Alam Tanweer⁵^ORCID

Affiliation:

1. GMR Institute of Technology, Rajam, India

2. Department of Computer Science and Engineering, Visvodaya Engineering College, Kavali, India

3. Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Kuwait City, Kuwait

4. Department of Computer Science and Engineering, Wollega University, Nekemte, Ethiopia

5. Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

Reference56 articles.

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