Efficient Convolutional Neural Network Based Side Channel Attacks Based on AES Cryptography-Reference-Cited by-同舟云学术

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Efficient Convolutional Neural Network Based Side Channel Attacks Based on AES Cryptography

Published:2023-12-13 Issue: Volume:9 Page:144-149
ISSN:
Container-title:2023 IEEE 21st Student Conference on Research and Development (SCOReD)
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Author:

Ahmed Amjed Abbas¹,Hasan Mohammad Kamrul¹,Aman Azana Hafizah¹,Abdulkadir Rabiu Aliyu¹,Islam Shayla²,Farhan Basim Abdulkareem³

Affiliation:

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

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

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

Funder

Universiti Kebangsaan Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562378/10563214/10563332.pdf?arnumber=10563332

Reference20 articles.

1. Automated Probe Repositioning for On-Die EM Measurements

2. A Power Analysis Attack Resistant Multicore Platform With Effective Randomization Techniques

3. Leveraging Deep CNN and Transfer Learning for Side-Channel Attack

4. Design and Implementation of Side Channel Attack Based on Deep Learning LSTM

5. Encoding Power Traces as Images for Efficient Side-Channel Analysis

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