Detection and Prevention of Cyber-Attacks in Cyber-Physical Systems based on Nature Inspired Algorithm
Author:
Affiliation:
1. School of Engineering and Technology Pondicherry University,Department of Computer Science,Puducherry,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099476/10100336/10100513.pdf?arnumber=10100513
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1. Intelligent anomaly identification in cyber-physical inverter-based systems
2. Distributed dynamic state-input estimation for power networks of Microgrids and active distribution systems with unknown inputs
3. A Learning-Based Framework for Detecting Cyber-Attacks Against Line Current Differential Relays
4. A Real-Time Approach for Detection and Correction of False Data in PMU Measurements
5. Ensemble machine learning models for the detection of energy theft
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2. Cyber Attack Classifications Using Supervised Learning Technique;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
3. Detection of Cyber Attacks in Smart Grid Using Optimization and Deep Learning Techniques;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
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