Secure AI for 6G Mobile Devices: Deep Learning Optimization Against Side-Channel Attacks-Reference-Cited by-同舟云学术

Secure AI for 6G Mobile Devices: Deep Learning Optimization Against Side-Channel Attacks

Published:2024-02 Issue:1 Volume:70 Page:3951-3959
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Ahmed Amjed Abbas¹,Hasan Mohammad Kamrul¹^ORCID,Memon Imran²,Aman Azana Hafizah Mohd²^ORCID,Islam Shayla³^ORCID,Gadekallu Thippa Reddy⁴^ORCID,Memon Sufyan Ali⁵^ORCID

Affiliation:

1. Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia

2. Department of Computer Science, Shah Abdul Latif University (Shahdadkot), Shahdadkot, Pakistan

3. Institute of Computer Science and Digital Innovation, UCSI University Malaysia, Kuala Lumpur, Malaysia

4. Division of Research and Development, Lovely Professional University, Phagwara, India

5. Department of Defense Systems Engineering, Sejong University, Seoul, Republic of Korea

Funder

Universiti Kebangsaan Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10457005.pdf?arnumber=10457005

Reference30 articles.

1. No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis

2. SoK: Deep Learning-based Physical Side-channel Analysis

3. An Explainable Ensemble Deep Learning Approach for Intrusion Detection in Industrial Internet of Things

4. DDoS: Distributed denial of service attack in communication standard vulnerabilities in smart grid applications and cyber security with recent developments

5. Distributed denial-of-service attack detection for smart grid wide area measurement system: A hybrid machine learning technique