Leveraging Machine Learning for Real-time Anomaly Detection and Self-Repair in IoT Devices-Reference-Cited by-同舟云学术

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Leveraging Machine Learning for Real-time Anomaly Detection and Self-Repair in IoT Devices

Published:2023-11-23 Issue: Volume:7 Page:982-986
ISSN:
Container-title:2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI)
language:
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Author:

Ali S Ahamed¹,Sujatha D.²,Michael Raj.TF³,Ramesh G.⁴,Agoramoorthy Moorthy⁵

Affiliation:

1. Computer Science and Engineering Easwari Engineering College,Ramapuram

2. St. Peters College of Engineering and Technology,Department of Computer Science and Engineering,Chennai

3. SIMATS,Department of Computer Applications SCLAS,Chennai,TN,India

4. K.L.N. College of Engineering Pottapalayam,Department of Information Technology,Sivagangai,Tamilnadu,India

5. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420826/10420856/10421539.pdf?arnumber=10421539

Reference18 articles.

1. Suspicious Activity Detection Using Convolution Neural Network

2. An Improved Crime Scene Detection System Based on Convolutional Neural Networks and Video Surveillance

3. Energy efficient routing using hybrid whale-lion optimization algorithm in comparison with buffalo optimization algorithm

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge-based anomaly detection: Survey, challenges, and future directions;Engineering Applications of Artificial Intelligence;2024-10

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