Low-Cost Full Correlated-Power-Noise Generator to Counteract Side-Channel Attacks

被引:0
|
作者
Tena-Sanchez, Erica [1 ,2 ]
Potestad-Ordonez, Francisco Eugenio [1 ,2 ]
Zuniga-Gonzalez, Virginia [2 ]
Acosta, Antonio J. [2 ]
机构
[1] Univ Seville, Escuela Politecn Super, Elect Technol Dept, Seville 41011, Spain
[2] Univ Seville, Inst Microelect Sevilla, IMSE CNM, CSIC, Seville 41092, Spain
来源
APPLIED SCIENCES-BASEL | 2025年 / 15卷 / 06期
关键词
CPA attacks; hiding countermeasures; correlated power noise generator; FPGA; AES; hardware security; RANDOM NUMBER GENERATION;
D O I
10.3390/app15063064
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Considerable attention has been given to addressing side-channel attacks to improve the security of cryptographic hardware implementations. These attacks encourage the exploration of various countermeasures across different levels of abstraction, through masking and hiding techniques, mainly. In this paper, we introduce a novel hiding countermeasure designed to mitigate Correlation Power Analysis (CPA) attacks without significant overhead. The new countermeasure interferes with the processed data, minimizing the power correlation with the secret key. The proposed method involves using a Correlated-Power-Noise Generator (CPNG). This study is supported by experimental results using CPA attacks on a SAKURA-G board with a SPARTAN-6 Xilinx FPGA. An Advanced Encryption Standard (AES) cipher with 128/256-bit key size is employed for this purpose. The proposed secure design of AES has an area overhead of 29.04% compared to unprotected AES. After conducting a CPA attack, the acquisition of information about the private key has been reduced drastically by 44.5%.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] LOW-COST PSEUDORANDOM GAUSSIAN NOISE GENERATOR
    SZAJNOWSKI, WJ
    ELECTRONIC ENGINEERING, 1976, 48 (579): : 22 - 22
  • [22] SNR-Centric Power Trace Extractors for Side-Channel Attacks
    Ou, Changhai
    Lam, Siew-Kei
    Sun, Degang
    Zhou, Xinping
    Qiao, Kexin
    Wang, Qu
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 40 (04) : 620 - 632
  • [23] Attacks on IoT: Side-Channel Power Acquisition Framework for Intrusion Detection
    Lightbody, Dominic
    Ngo, Duc-Minh
    Temko, Andriy
    Murphy, Colin C.
    Popovici, Emanuel
    FUTURE INTERNET, 2023, 15 (05)
  • [24] Defense against Side-Channel Power Analysis Attacks on Microelectronic Systems
    Sundaresan, Vijay
    Rammohan, Srividhya
    Vemuri, Ranga
    NAECON 2008 - IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE, 2008, : 144 - 150
  • [25] Temperature Impact on Remote Power Side-Channel Attacks on Shared FPGAs
    Glamocanin, Ognjen
    Bazaz, Hajira
    Payer, Mathias
    Stojilovic, Mirjana
    2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE, 2023,
  • [26] Flattening Power Waveforms by Hamming Distance Converter for Side-channel Attacks
    Katsube, Ryoma
    Nagatomo, Taiki
    Ukezono, Tomoaki
    2024 IEEE THE 20TH ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, APCCAS 2024, 2024, : 231 - 235
  • [27] A New Foe in GPUs: Power Side-Channel Attacks on Neural Network
    Jeon, Hyeran
    Karimian, Nima
    Lehman, Tamara
    PROCEEDINGS OF THE 2021 TWENTY SECOND INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED 2021), 2021, : 313 - 313
  • [28] Defensive Charging: Mitigating Power Side-Channel Attacks on Charging Smartphones
    Matovu, Richard
    Serwadda, Abdul
    Bilbao, Argenis V.
    Griswold-Steiner, Isaac
    PROCEEDINGS OF THE TENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY, CODASPY 2020, 2020, : 179 - 190
  • [29] Implications of Noise Insertion Mechanisms of Different Countermeasures Against Side-Channel Attacks'
    Yu, Weize
    Kose, Selcuk
    2017 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2017,
  • [30] Optimal Energy Efficient Design of Artificial Noise to Prevent Side-Channel Attacks
    Jin, Shan
    Xu, Minghua
    Bettati, Riccardo
    Christodorescu, Mihai
    2022 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS), 2022,