Enhancing Cyber-Physical Systems Resilience: Adaptive Self-Healing Security Using Long Short-Term Memory Networks-Reference-Cited by-同舟云学术

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Enhancing Cyber-Physical Systems Resilience: Adaptive Self-Healing Security Using Long Short-Term Memory Networks

Published:2024-05-09 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Alijoyo Franciskus Antonius¹,Kaur Chamandeep²,Anjum Afsana³,Vuyyuru Veera Ankalu⁴,Bala B Kiran⁵

Affiliation:

1. STMIK LIKMI,School of Business and Information Technology,Bandung,Indonesia

2. Jazan University,Department of Computer Science & Information Technology,Jizan,Kingdom of Saudi Arabia

3. Security Jazan University,Dept. Of Information technology,Jazan,Saudi Arabia

4. Koneru Lakshmaiah Education Foundation,Department of CSE,Vaddeswaram,Andhra Pradesh,India

5. K. Ramakrishnan College of Engineering,Department of AI & DS,Trichy,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602467.pdf?arnumber=10602467

Reference15 articles.

1. Exploring the integration of blockchain technology, physical unclonable function, and machine learning for authentication in cyber-physical systems

2. Towards Blockchain-based Hierarchical Federated Learning for Cyber-Physical Systems

3. Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques

4. Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining, in Learning and Intelligent Optimization: 17th International Conference, LION 17;Gupta

5. Self-Healing in Cyber–Physical Systems Using Machine Learning: A Critical Analysis of Theories and Tools

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