IOT & Machine Learning Models to Develop The Architecture For Assessment Of Security Threats.-Reference-Cited by-同舟云学术

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IOT & Machine Learning Models to Develop The Architecture For Assessment Of Security Threats.

Published:2023-10-27 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
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Author:

Alotibi Mohammed Masaad¹,Rajeyyagari Sivaram²,Al-Omari Omaia Mohammed³,Alymani Mofadal²

Affiliation:

1. Planning and Digital Transformation Ministry of Health,Riyadh,Saudi Arabia

2. College of Computing and Information Technology,Department of Computer Engineering,Shaqra,Saudi Arabi

3. College of Computing and Information Technology,Department of Information Systems,Shaqra,Saudi Arabi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525677/10525695/10526005.pdf?arnumber=10526005

Reference20 articles.

1. Safety, Security and Privacy in Machine Learning Based Internet of Things

2. Machine learning for 5G security: Architecture, recent advances, and challenges

3. Anomaly-based intrusion detection system for IoT networks through deep learning model

4. Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends;Haider;arXiv preprint arXiv:2007.04490,2020

5. IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

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