The Recent Advancements of Radio Frequency Machine Learning (RFML) Approaches in Enhancing Wireless Security Using Multi Regression Analysis Approach (MRAA)-Reference-Cited by-同舟云学术

The Recent Advancements of Radio Frequency Machine Learning (RFML) Approaches in Enhancing Wireless Security Using Multi Regression Analysis Approach (MRAA)

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Khan Zarrarahmed Z¹,Dhinakaran M.²,Deepthi P.³,Johar Siti Sarawati⁴,Ventayen Randy Joy Magno⁵,Kalpana R.⁶

Affiliation:

1. Anjuman I Islam, Mumbai University,Mumbai,Maharashtra,India

2. Government College of Engineering,Department of Electronics and Communication Engineering,Salem,Tamilnadu,India

3. VelTech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi,Department of Electronics and Communication Engineering,Chennai,Tamilnadu,India

4. Centre for General Studies and Co-curricular, Universiti Tun Hussein Onn Malaysia,Department of Social Science,Parit Raja, Batu Pahat,Johor Darul Takzim,Malaysia,86400

5. Pangasinan State University,Philippines

6. ECE Veltech Multitech, Dr. Rangarajan, Dr. Sakunthala Engg College, under Anna university,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823548.pdf?arnumber=9823548

Reference22 articles.

1. A Mutual Information–Based Infrastructureless Radio Frequency Positioning System via Deep Learning

2. Software radio: A modern approach to radio engineering [Book Review]

3. Multiple Quality Optimizations in Electrical Discharge Drilling of Mild Steel Sheet

4. Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

5. Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers