A Power Analysis Attack Resistant Multicore Platform With Effective Randomization Techniques-Reference-Cited by-同舟云学术

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A Power Analysis Attack Resistant Multicore Platform With Effective Randomization Techniques

Published:2020-06 Issue:6 Volume:28 Page:1423-1434
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Yang Jianwei^ORCID,Han Jun^ORCID,Dai Fan,Wang Weizhen^ORCID,Zeng Xiaoyang

Funder

National Natural Science Foundation of China

National Science and Technology Major Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx7/92/9104037/09005217.pdf?arnumber=9005217

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Power Attack Vulnerability Assessment of Circuit-Level PRESENT Encryption IP Using Artificial Intelligence Mechanisms;Journal of Circuits, Systems and Computers;2024-03-28

2. Efficient Convolutional Neural Network Based Side Channel Attacks Based on AES Cryptography;2023 IEEE 21st Student Conference on Research and Development (SCOReD);2023-12-13

3. A novel on-chip linear and switching mixed regulation against power analysis attacks;Integration;2023-11

4. Securing AES Designs Against Power Analysis Attacks: A Survey;IEEE Internet of Things Journal;2023-08-15

5. A low output ripple and high security on‐chip voltage regulation based on Fourier transform;International Journal of Circuit Theory and Applications;2023-02-22

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