Harnessing Entropy: RRAM Crossbar-based Unified PUF and RNG

被引:1
作者
Rajendran, Gokulnath [1 ]
Zahoor, Furqan [1 ]
Thakker, Sidhaant Sachin [2 ]
Singh, Simranjeet [3 ,5 ]
Merchant, Farhad [4 ]
Rana, Vikas [5 ]
Chattopadhyay, Anupam [1 ]
机构
[1] Nanyang Technol Univ, Singapore, Singapore
[2] BITS Pilani, Pilani, Rajasthan, India
[3] Indian Inst Technol, Bombay, Maharashtra, India
[4] Newcastle Univ, Newcastle Upon Tyne, Tyne & Wear, England
[5] Forschungszentrum Julich, Julich, Germany
来源
PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE ON VLSI DESIGN, VLSID 2024 AND 23RD INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS, ES 2024 | 2024年
基金
新加坡国家研究基金会;
关键词
RRAM; PUF; RNG; Security;
D O I
10.1109/VLSID60093.2024.00099
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Physical Unclonable Functions (PUF) and Random Number Generators (RNG) are two fundamental security components with applications in various tasks of a security protocol, such as key establishment, identity management, and authentication. In recent times, researchers have proposed various PUF and RNG constructions using RRAMs, demonstrating excellent properties, low energy consumption, and resistance to modelling attacks. Underlying these PUF and RNG constructions, the source of entropy remains the same, and therefore, it is natural to design a unified RRAM-based architecture to function both as a PUF and an RNG. This is accomplished in the current paper. We propose a unified Parity-RRAM PUF (PR-PUF) and RNG construction and validate it for well-known PUF characteristics and RNG randomness properties with the NIST test suite SP 800-22. We present detailed design analysis and simulation-based studies to substantiate our ideas.
引用
收藏
页码:560 / 564
页数:5
相关论文
共 31 条
  • [1] RRAM Crossbar-Based Fault-Tolerant Binary Neural Networks (BNNs)
    Gebregiorgis, Anteneh
    Zografou, Artemis
    Hamdioui, Said
    2022 IEEE EUROPEAN TEST SYMPOSIUM (ETS 2022), 2022,
  • [2] A Unified PUF and TRNG Design Based on 40-nm RRAM With High Entropy and Robustness for IoT Security
    Gao, Bin
    Lin, Bohan
    Li, Xueqi
    Tang, Jianshi
    Qian, He
    Wu, Huaqiang
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2022, 69 (02) : 536 - 542
  • [3] Hardware Security Primitives using Passive RRAM Crossbar Array: Novel TRNG and PUF Designs
    Singh, Simranjeet
    Zahoor, Furqan
    Rajendran, Gokul
    Patkar, Sachin
    Chattopadhyay, Anupam
    Merchant, Farhad
    2023 28TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, ASP-DAC, 2023, : 449 - 454
  • [4] A Crossbar-Based In-Memory Computing Architecture
    Wang, Xinxin
    Zidan, Mohammed A.
    Lu, Wei D.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2020, 67 (12) : 4224 - 4232
  • [5] A Lightweight Reconfigurable RRAM-based PUF for Highly Secure Applications
    Hajri, Basma
    Mansour, Mohammad M.
    Chehab, Ali
    Aziza, Hassen
    2020 33RD IEEE INTERNATIONAL SYMPOSIUM ON DEFECT AND FAULT TOLERANCE IN VLSI AND NANOTECHNOLOGY SYSTEMS (DFT), 2020,
  • [6] Threshold Voltage based Dual Memristor Crossbar PUF
    Al-Tamimi, Aref
    Ali, Shawkat
    Cao, Yuan
    Bermak, Amine
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2024, 175
  • [7] Progress in rectifying-based RRAM passive crossbar array
    Zhang KangWei
    Long ShiBing
    Liu Qi
    Lue HangBing
    Li YingTao
    Wang Yan
    Lian WenTai
    Wang Ming
    Zhang Sen
    Liu Ming
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2011, 54 (04) : 811 - 818
  • [8] Progress in rectifying-based RRAM passive crossbar array
    KangWei Zhang
    ShiBing Long
    Qi Liu
    HangBing Lü
    YingTao Li
    Yan Wang
    WenTai Lian
    Ming Wang
    Sen Zhang
    Ming Liu
    Science China Technological Sciences, 2011, 54 : 811 - 818
  • [9] Progress in rectifying-based RRAM passive crossbar array
    ZHANG KangWei
    Science China(Technological Sciences), 2011, (04) : 811 - 818
  • [10] A TaOx based Threshold Switching Selector for the RRAM Crossbar Array Memory
    Huang, Yinglong
    Huang, Ru
    Cai, Yimao
    Wu, Huiwei
    Yue, Pan
    Zhang, Yaokai
    Chen, Cheng
    Wang, Yangyuan
    2012 12TH ANNUAL NON-VOLATILE MEMORY TECHNOLOGY SYMPOSIUM, 2012, : 85 - 87