the strong PUF so that attackers cannot obtain effective training set to

The strong puf so that attackers cannot obtain

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the strong PUF so that attackers cannot obtain effective training set to predict CRPs. In RPUF, every challenge has multiple responses. Experiments on both simulations and FPGAs prove the effectiveness of the proposed RPUF in resisting modeling attacks, while remaining uniformity, uniqueness, and reliability of the strong PUF. Though the proposed RPUF may not be able to resist certain semi- invasive attacks or invasive attacks, such as the photon side-channel based attack, the capability of resisting non- invasive modeling attacks already provides enough security level for many applications. 6. ACKNOWLEDGE This paper is supported by the National Natural Science Foundation (NSFC) of China: 61532017, 61274030, 61376043. Reference [1] U. Ruhrmair, D. E. Holcomb, "PUFs at a Glance," Design, Automation and Test in Europe (DATE), 2014. [2] P. Tuyls, G. J. Schrijen, B. Skoric, J. V. Geloven, N. Verhaegh, R. Wolters, "Read-Proof Hardware from Protective Coatings," Cryptographic Hardware and Embedded Systems (CHES), pp. 369-383, 2006. [3] J. Guajardo, S. S. Kumar, G.-J. Schrijen, P. Tuyls, "FPGA Intrinsic PUFs and Their Use for IP Protection," Cryptographic Hardware and Embedded Systems (CHES), pp. 63-80, 2007. [4] D. Lim, "Extracting Secret Keys from Integrated Circuits," MSc Thesis, MIT, 2004. [5] Blaise Gassend, Marten van Dijk, Dwaine E. Clarke, Emina Torlak, Srinivas Devadas, Pim Tuyls: Controlled physical random functions and applications. ACM Trans. Inf. Syst. Secur. 10(4) (2008) [6] G. E. Suh, S. Devadas, "Physical Unclonable Functions for Device Authentication and Secret Key Generation," Design Automation Conference (DAC), pp. 9-14, 2007. [7] M. Majzoobi, F. Koushanfar, M. Potkonjak, "Lightweight Secure PUFs," International Conference on Computer-Aided Design (ICCAD), pp. 670-673, 2008. [8] R. Kumar, W. Burleson, "On Design of a Highly Secure PUF Based on Non-Linear Current Mirrors," Hardware- Oriented Security and Trust (HOST), pp. 38-43, 2014. [9] A. Vijayakumar, S. Kundu, "A Novel Modeling Attack Resistant PUF Design based on Non-Linear Voltage Transfer Characteristics," Design, Automation and Test in Europe Conference and Exhibition (DATE), pp. 653-658, 2015. [10] J. Ye, Y. Hu, X. Li, "OPUF: Obfuscation Logic Based Physical Unclonable Function," IEEE International On-Line Testing Symposium (IOLTS), pp. 156-161, 2015. [11] A. V. Herrewege, S. Katzenbeisser, R. Maes, "Reverse Fuzzy Extractors: Enabling Lightweight Mutual Authentication for PUF-enabled RFIDs," Financial Cryptography and Data Security (FCDS). pp. 374-389, 2012. [12] M. Rostami, M. Majzoobi, F. Koushanfar, D. Wallach, S. Devadas, "Robust and Reverse-Engineering Resilient PUF Authentication and Keyexchange by Substring Matching," IEEE Transactions on Emerging Topics in Computing (TETC), vol. 2, no. 1, pp. 37-49, 2014. [13] B. Gassend, Physical random functions, Master’s thesis, Massachusetts Institute of Technology, 2003 [14] U. Ruhrmair et al., Modeling Attacks on Physical Unclonable Functions, CCS 2010 [15] U. Ruhrmair, J. Solter, F. Sehnke, X. Xiaolin, A. Mahmoud, V. Stoyanova, G. Dror, J. Schmidhuber, W. Burleson, S.
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