Deep Learning-based Dimensionality Reduction for Anomaly Detection in Smart Grids-Reference-Cited by-同舟云学术

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Deep Learning-based Dimensionality Reduction for Anomaly Detection in Smart Grids

Published:2023-10-11 Issue: Volume: Page:71-75
ISSN:
Container-title:2023 14th International Conference on Information and Communication Technology Convergence (ICTC)
language:
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Author:

Kousar Anila¹,Ahmed Saeed¹,Altamimi Abdullah²,Kim Su Min³,Khan Zafar Ali¹

Affiliation:

1. Mirpur Univ. of Science and Technology (MUST),Dept. of Electrical Engineering,Mirpur,Pakistan,AJK-10250

2. Majmaah University,College of Engineering,Dept. of Electrical Engineering,Al-Majmaah,Saudi Arabia,11952

3. Tech Univ. of Korea (TU Korea),Dept. of Electronics Engineering,Siheung, Gyeonggi,South Korea,15073

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391854/10391860/10393285.pdf?arnumber=10393285

Reference14 articles.

1. A review on security analysis of cyber physical systems using Machine learning

2. Reliability assessment of cyber-physical power systems considering the impact of predicted cyber vulnerabilities

3. Machine Learning-Based Security Solutions for Critical Cyber-Physical Systems

4. The Security Concerns On Cyber-Physical Systems And Potential Risks Analysis Using Machine Learning

5. Detecting Cyber Attacks in Smart Grids Using Semi-Supervised Anomaly Detection and Deep Representation Learning

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