CMOS Image Sensor Based Physical Unclonable Function for Coherent Sensor-Level Authentication

被引:54
作者
Cao, Yuan [1 ]
Zhang, Le [1 ]
Zalivaka, Siarhei S. [1 ]
Chang, Chip-Hong [1 ]
Chen, Shoushun [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
CMOS image sensor; device authentication; physical unclonable function; process variation; random number generator; trusted integrated circuits; SENSITIVITY; NETWORKS; SECURITY; PRIVACY;
D O I
10.1109/TCSI.2015.2476318
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the applications of biometric authentication and video surveillance, the image sensor is expected to provide certain degree of trust and resiliency. This paper presents a new low-cost CMOS image sensor based physical unclonable function (PUF) targeting a variety of security, privacy and trusted protocols that involves image sensor as a trusted entity. The proposed PUF exploits the intrinsic imperfection during the image sensor manufacturing process to generate unique and reliable digital signatures. The proposed differential readout stabilizes the response bits extracted from the random fixed pattern noises of selected pixel pairs determined by the applied challenge against supply voltage and temperature variations. The threshold of difference can be tightened to winnow out more unstable response bits from the challenge-response space offered by modern image sensors to enhance the reliability under harsher operating conditions and loosened to improve its resiliency against masquerade attacks in routine operating environment. The proposed design can be classified as a weak PUF which is resilient to modeling attacks, with direct access to its challenge-response pair restricted by the linear feedback shift register. Our experiments on the reset voltages extracted from a 64 x 64 image sensor fabricated in 180 nm 3.3 V CMOS technology demonstrated that robust and reliable challenge-response pairs can be generated with a uniqueness of 49.37% and a reliability of 99.80% under temperature variations of 15 similar to 115 degrees C and supply voltage variations of 3 similar to 3.6 V.
引用
收藏
页码:2629 / 2640
页数:12
相关论文
共 47 条
  • [1] Physically Unclonable Functions Derived From Cellular Neural Networks
    Addabbo, Tommaso
    Fort, Ada
    Di Marco, Mauro
    Pancioni, Luca
    Vignoli, Valerio
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2013, 60 (12) : 3205 - 3214
  • [2] A Reconfigurable Linear FeedBack Shift Register Operator for software defined Radio Terminal
    Alaus, Laurent
    Noguet, Dorninique
    Palicot, Jacques
    [J]. 2008 3RD INTERNATIONAL SYMPOSIUM ON WIRELESS PERVASIVE COMPUTING, VOLS 1-2, 2008, : 319 - +
  • [3] Alvarez A, 2015, ISSCC DIG TECH PAP I, V58, P256
  • [4] [Anonymous], 2014, CMOS IM SENS MARK AN
  • [5] [Anonymous], 2007, 2007 IEEE INT SOLID
  • [6] [Anonymous], 2001, Ph.D. thesis
  • [7] Bagci F., 2009, P 3 INT C SENS TECHN, P18
  • [8] Bissell C. C., 1992, Digital signal transmission
  • [9] Burch R., 1993, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, V1, P63, DOI 10.1109/92.219908
  • [10] Sensor-Assisted Facial Recognition: An Enhanced Biometric Authentication System for Smartphones
    Chen, Shaxun
    Pande, Amit
    Mohapatra, Prasant
    [J]. MOBISYS'14: PROCEEDINGS OF THE 12TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS, AND SERVICES, 2014, : 109 - 122