On Use of Deep Learning for Side Channel Evaluation of Black Box Hardware AES Engine-Reference-Cited by-同舟云学术

On Use of Deep Learning for Side Channel Evaluation of Black Box Hardware AES Engine

Published:2021 Issue: Volume: Page:185-194
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Author:

Won Yoo-Seung,Bhasin Shivam

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-77424-0_15

Reference15 articles.

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2. Bhasin, S., Danger, J.L., Guilley, S., Najm, Z.: NICV: normalized inter-class variance for detection of side-channel leakage. In: 2014 International Symposium on Electromagnetic Compatibility, Tokyo, pp. 310–313. IEEE (2014)

3. Bhasin, S., Guilley, S., Heuser, A., Danger, J.-L.: From cryptography to hardware: analyzing and protecting embedded Xilinx BRAM for cryptographic applications. J. Cryptographic Eng. 3(4), 213–225 (2013). https://doi.org/10.1007/s13389-013-0048-4

4. Lecture Notes in Computer Science;E Brier,2004

5. Lecture Notes in Computer Science;E Cagli,2017

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