The Cutting-Edge Machine Learning Techniques for Seamless and Proactive Automation in Cybersecuri ty-Reference-Cited by-同舟云学术

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The Cutting-Edge Machine Learning Techniques for Seamless and Proactive Automation in Cybersecuri ty

Published:2024-04-26 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Computing and Data Science (ICCDS)
language:
Short-container-title:

Author:

S Noorul Hassan¹,K Sivaraman²

Affiliation:

1. Bharath Institute of Higher Education and Research(BIHER),Department of Information Technology,Chennai,Tamil Nadu,India

2. Bharath Institute of Higher Education and Research(BIHER),Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560061/10560357/10560436.pdf?arnumber=10560436

Reference16 articles.

1. A Machine Learning-Based Intrusion Detection System for IoT Electric Vehicle Charging Stations (EVCSs)

2. Electric Vehicle Charging System in the Smart Grid Using Different Machine Learning Methods

3. Intrusion Detection for Electric Vehicle Charging Systems (EVCS)

4. Artificial intelligence, machine learning and deep learning in advanced robotics, a review

5. Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey

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