Non-profiled deep learning-based side-channel attacks with sensitivity analysis

被引：0
|
作者：
Timon, Benjamin [1 ]
机构：
[1] eShard, Singapore
来源：
IACR Transactions on Cryptographic Hardware and Embedded Systems | 2019年 / 2019卷 / 02期
关键词：
D O I：
10.13154/tches.v2019.i2.107-131
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：107 / 131
相关论文
共 50 条
  • [41] Regularizers to the rescue: fighting overfitting in deep learning-based side-channel analysis
    Rezaeezade, Azade
    Batina, Lejla
    JOURNAL OF CRYPTOGRAPHIC ENGINEERING, 2024, 14 (04) : 609 - 629
  • [42] Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis
    Perin, Guilherme
    Wu, Lichao
    Picek, Stjepan
    IACR Transactions on Cryptographic Hardware and Embedded Systems, 2022, 2022 (04): : 828 - 861
  • [43] Deep Learning-Based Side-Channel Analysis Against AES Inner Rounds
    Swaminathan, Sudharshan
    Chmielewski, Lukasz
    Perin, Guilherme
    Picek, Stjepan
    APPLIED CRYPTOGRAPHY AND NETWORK SECURITY WORKSHOPS, ACNS 2022, 2022, 13285 : 165 - 182
  • [44] Playing With Blocks: Toward Re-Usable Deep Learning Models for Side-Channel Profiled Attacks
    Paguada, Servio
    Batina, Lejla
    Buhan, Ileana
    Armendariz, Igor
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 17 : 2835 - 2847
  • [45] Side-Channel Attacks Based on Collaborative Learning
    Liu, Biao
    Ding, Zhao
    Pan, Yang
    Li, Jiali
    Feng, Huamin
    DATA SCIENCE, PT 1, 2017, 727 : 549 - 557
  • [46] An Efficient Non-Profiled Side-Channel Attack on the CRYSTALS-Dilithium Post-Quantum Signature
    Chen, Zhaohui
    Karabulut, Emre
    Aysu, Aydin
    Ma, Yuan
    Jing, Jiwu
    2021 IEEE 39TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2021), 2021, : 583 - 590
  • [47] Controlling the Deep Learning-Based Side-Channel Analysis: A Way to Leverage from Heuristics
    Paguada, Servio
    Rioja, Unai
    Armendariz, Igor
    APPLIED CRYPTOGRAPHY AND NETWORK SECURITY WORKSHOPS, ACNS 2020, 2020, 12418 : 106 - 125
  • [48] Improved Hybrid Bagging Resampling Framework for Deep Learning-Based Side-Channel Analysis
    Hameed, Faisal
    Ramesh, Sumesh Manjunath
    Alkhzaimi, Hoda
    COMPUTERS, 2024, 13 (08)
  • [49] Autoscaled-Wavelet Convolutional Layer for Deep Learning-Based Side-Channel Analysis
    Bae, Daehyeon
    Park, Dongjun
    Kim, Gyusang
    Choi, Minsig
    Lee, Nayeon
    Kim, Heeseok
    Hong, Seokhie
    IEEE ACCESS, 2023, 11 : 95381 - 95395
  • [50] Deep learning-based classification and anomaly detection of side-channel signals
    Wang, Xiao
    Zhou, Quan
    Harer, Jacob
    Brown, Gavin
    Qiu, Shangran
    Dou, Zhi
    Wang, John
    Hinton, Alan
    Gonzalez, Carlos Aguayo
    Chin, Peter
    CYBER SENSING 2018, 2018, 10630
12345