Evaluation of Hiding-based Countermeasures against Deep Learning Side Channel Attacks with Pre-trained Networks-Reference-Cited by-同舟云学术

Evaluation of Hiding-based Countermeasures against Deep Learning Side Channel Attacks with Pre-trained Networks

Published:2022-10-19 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
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Author:

Nomikos Kostas¹,Papadimitriou Athanasios¹,Psarakis Mihalis¹,Pikrakis Aggelos¹,Beroulle Vincent²

Affiliation:

1. University of Piraeus,Dept. of Informatics,Piraeus,Greece

2. Univ. Grenoble Alpes, Grenoble INP, LCIS,Valence,France

Funder

EMI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9962319/9962334/09962360.pdf?arnumber=9962360

Reference14 articles.

2. On a Side Channel and Fault Attack Concurrent Countermeasure Methodology for MCU-based Byte-sliced Cipher Implementations

3. You can detect but you cannot hide: Fault Assisted Side Channel Analysis on Protected Software-based Block Ciphers;papadimitriou;2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT),2020

4. On the Performance of Non-Profiled Differential Deep Learning Attacks against an AES Encryption Algorithm Protected using a Correlated Noise Generation based Hiding Countermeasure

5. Deep learning based side channel attacks in practice;maghrebi;Cryptology ePrint Archive,2019

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