Optimization Technique for Deep Learning Methodology on Power Side Channel Attacks-Reference-Cited by-同舟云学术

Optimization Technique for Deep Learning Methodology on Power Side Channel Attacks

Published:2023-11-29 Issue: Volume: Page:
ISSN:
Container-title:2023 33rd International Telecommunication Networks and Applications Conference
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Author:

Ahmed Amjed Abbas¹,Hasan Mohammad Kamrul¹,Nafi Nazmus Shaker²,Aman Azana Hafizah¹,Islam Shayla³,Nahi Mohammad Siab⁴

Affiliation:

1. Universiti Kebangsaan Malaysia (UKM),Center for Cyber Security, Faculty of Information Science and Technology,Bangi,Malaysia,43600

2. GS-APAC, Kellogg Brown and Root,Melbourne,Australia

3. Institute of Computer Science and Digital Innovation, UCSI University,Kuala Lumpur,Malaysia,56000

4. Imam Al-Kadhum College (IKC),Department of Computer Techniques Engineering,Baghdad,Iraq,10011

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368315/10368472/10368481.pdf?arnumber=10368481

Reference18 articles.

1. Deep learning side-channel attack against hardware implementations of AES

2. Applications of machine learning techniques in side-channel attacks: a survey

3. Security vulnerabilities, attacks, threats and the proposed countermeasures for the Internet of Things applications;Taher;Solid State Technology,2020

4. Multilabel Deep Learning-Based Side-Channel Attack

5. Energy-efficient implementation of AES algorithm on 16nm FPGA

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