论文头条 | DplsLab_北京智慧云测设备技术有限公司

Mitigating side channel attacks on FPGA through deep learning and dynamic partial reconfiguration

发表于 2025 来源 SCIENTIFIC REPORTS DOI 10.1038/s41598-025-98473-3

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作者

Bommana, Sesibhushana Rao,Veeramachaneni, Sreehari,Ershad, Syed,Srinivas, Mb

摘要

This paper introduces a framework that combines Deep Learning (DL) models and Dynamic Partial Reconfiguration (DPR) in Field Programmable Gate Arrays 更多..

Deep learning,SCA,DPR,FPGA

Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms

发表于 2025 来源 SCIENTIFIC REPORTS DOI 10.1038/s41598-025-86118-4

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作者

Singh, Purushottam,Pranav, Prashant,Dutta, Sandip

摘要

This research introduces a novel hybrid cryptographic framework that combines traditional cryptographic protocols with advanced methodologies, specifi 更多..

WGAN-GP,Genetic algorithms,Side-channel attacks,Cryptographic protocols,Data augmentation,Security optimization

TTEA: designing a quantum-ready and energy-conscious encryption model for secure IoT environments

来源 SCIENTIFIC REPORTS

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作者

Mahmoud A Abdelaal,Abdellatif I Moustafa,H Saleh,Mohamed Yasin I Afifi

IoT security,Lightweight cryptography,Adaptive key scheduling,S-box,Energy efficiency,Avalanche effect

NFBC: an efficient FPGA based NFSR-oriented lightweight block cipher suitable for embedded system

来源 SCIENTIFIC REPORTS

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作者

Runa Chatterjee,Rajdeep Chakraborty

Engineering,Mathematics and computing

Secure authentication using a multidimensional retinal biometric encryption method

来源 SCIENTIFIC REPORTS DOI 10.1038/s41598-026-40962-0

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作者

Yashmin Banu,Biplab Kumar Rath,Debasis Gountia

Retinal biometrics,Multidimensional keys,Cryptography,NIST randomness,FSKG

Cross subkey side channel analysis based on small samples

发表于 2022/4/15 来源 Scientific Reports DOI 10.1038/S41598-022-10279-9

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作者

Hu Fanliang Wang Huanyu Wang Junnian

单位

School of Physics and Electronic Science,Hunan University of Science and Technology,Xiangtan,China;School of EECS,KTH Royal Institute of Technology,Stockholm,Sw展开

School of Physics and Electronic Science,Hunan University of Science and Technology,Xiangtan,China;School of EECS,KTH Royal Institute of Technology,Stockholm,Sweden

摘要

The majority of recently demonstrated Deep-Learning Side-Channel Analysis (DLSCA) use neural networks trained on a segment of traces containing operat 更多..