A novel hybrid delay based physical unclonable function immune to machine learning attacks

Pundir, Nitin; Hazari, Noor Ahmad; Amsaad, Fathi; Niamat, Mohammed

doi:10.1109/naecon.2017.8268749

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Arbiter PUFs (APUFs) are among the popular delay based PUFs. The design of an APUF circuit is presented in Figure 2 [8,10,11] . As shown in the figure, APUFs use a switch-box structure to create a race between two delay paths with an arbiter at the end.…”

Section: Silicon Physical Unclonable Functionsmentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8]. Furthermore, sPUFs can prevent the piracy of intellectual property (IP) by semi-invasive and/or non-invasive attacks, including fault injections, hardware Trojans, and side channel analysis [9][10][11][12][13][14]. Recently, sPUF-based techniques have been proposed for true random number generation, security of IoT applications and smart systems, including the smart grid (i.e., AMI: advanced smart meriting infrastructures) [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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Reliable Delay Based Algorithm to Boost PUF Security Against Modeling Attacks

et al. 2018

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Silicon Physical Unclonable Functions (sPUFs) are one of the security primitives and state-of-the-art topics in hardware-oriented security and trust research. This paper presents an efficient and dynamic ring oscillator PUFs (d-ROPUFs) technique to improve sPUFs security against modeling attacks. In addition to enhancing the Entropy of weak ROPUF design, experimental results show that the proposed d-ROPUF technique allows the generation of larger and updated challenge-response pairs (CRP space) compared with simple ROPUF. Additionally, an innovative hardware-oriented security algorithm, namely, the Optimal Time Delay Algorithm (OTDA), is proposed. It is demonstrated that the OTDA algorithm significantly improves PUF reliability under varying operating conditions. Further, it is shown that the OTDA further efficiently enhances the d-ROPUF capability to generate a considerably large set of reliable secret keys to protect the PUF structure from new cyber-attacks, including machine learning and modeling attacks.

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Section: Silicon Physical Unclonable Functionsmentioning

confidence: 99%