Role of Machine Learning in Power Analysis Based Side Channel Attacks on FPGA
Author:
Affiliation:
1. College of EME, NUST,Department of Computer and Software Engineering,Islamabad,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10089530/10089531/10089540.pdf?arnumber=10089540
Reference30 articles.
1. Jitter-based adaptive true random number generation circuits for fpgas in the cloud;li;ACM Transactions on Reconfigurable Technology and Systems (TRETS),2022
2. Precise Fault Injection to Enable DFIA for Attacking AES in Remote FPGAs
3. FPGA-Based Remote Power Side-Channel Attacks
4. Multilabel Deep Learning-Based Side-Channel Attack
Cited by 1 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. Multi-Layer Perceptrons and Convolutional Neural Networks Based Side-Channel Attacks on AES Encryption;2023 International Conference on Engineering Technology and Technopreneurship (ICE2T);2023-08-15
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