Analyzing the performance of a configurable ROPUF design controlled by programmable XOR gates

Amsaad, Fathi; Hoque, Tamzidul; Niamat, Mohammed

doi:10.1109/mwscas.2015.7282135

Cited by 17 publications

(15 citation statements)

References 7 publications

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“…For example, Arbiter PUFs (APUFs) offer a high number of CRPs, hence they are known as strong physical random functions [8]. In contrast, ring oscillator PUFs (ROPUFs) are a typical example of weak silicon PUFs, since they only offer a limited number of CRPs [3,9]. The selected RO pair is known as a challenge-response frequency pair that is used for the generation of the challenge response space or CRPs (the total number of the possible challenge responses pairs).…”

Section: Silicon Physical Unclonable Functionsmentioning

confidence: 99%

“…Static ROPUFs, including the simple ROPUF design, are designed with one structure that has a limited CRP number and fixed CRP space behavior. Configurable ROPUF (c-ROPUFs) are proposed to improve the CRP space and provide better reliability [3]. Both simple and configurable ROPUFs are based on a static ROPUF structure (fixed) and generate non-updated secret keys.…”

Section: Proposed Dynamic Ring Oscillator Techniquementioning

confidence: 99%

“…Silicon PUFs are useful to protect silicon devices against invasive hardware attacks, including physical tampering, reverse engineering, overbuilding, cloning, etc. [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].…”

Section: Introductionmentioning

confidence: 99%

“…(ROPUF reliability may be negatively impacted), is one way to overcome such a drawback. For example, the configurable ROPUF (c-ROPUF) incorporates more design blocks for mapping more ring oscillators (ROs) in a small area, to improve reliability, area overhead, power consumption, and the PUF capability to generated a larger CRP space [3]. Unfortunately, only a limited number of these components can be integrated, taking into consideration the performance of the generated response bits at different operating conditions [20,21].…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, only a limited number of these components can be integrated, taking into consideration the performance of the generated response bits at different operating conditions [20,21]. Additionally, just like the simple ROPUF, the c-ROPUF extracts non-updated secret keys, and both are based on a static structure that has a fixed CRP behavior [3].…”

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%

Section: Proposed Dynamic Ring Oscillator Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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A Dynamic Area-Efficient Technique to Enhance ROPUFs Security Against Modeling Attacks

Amsaad

Pundir

Niamat

2017

Computer and Network Security Essentials

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Analysis of Swarm Intelligence Based ANN Algorithms for Attacking PUFs

2021

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Physical Unclonable Functions (PUFs) are used for authentication and generation of secure cryptographic keys. However, recent research work has shown that PUFs, in general, are vulnerable to machine learning modeling attacks. From a subset of Challenge-Response Pairs (CRPs), the remaining CRPs can be effectively predicted using different machine learning algorithms. In this work, Artificial Neural Networks (ANNs) using swarm intelligence-based modeling attacks are used against different silicon-based PUFs to test their resiliency to these attacks. Amongst the swarm intelligence algorithms, the Gravitational Search Algorithm (GSA), Cuckoo Search Algorithm (CS), Particle Swarm Optimizer (PSO) and the Grey Wolf Optimizer (GWO) are used. The attacks are extensively performed on six different types of PUFs; namely, Configurable Ring Oscillator, Inverter Ring Oscillator, XOR-Inverter Ring Oscillator, Arbiter, Modified XOR-Inverter Ring Oscillator, and Hybrid Delay Based PUF. From the results, it can be concluded that the first four PUFs under study are vulnerable to ANN swarm intelligence-based models, and their responses can be predicted with an average accuracy of 71.1% to 88.3 % for the different models. However, for the Hybrid Delay Based PUF and the Modified XOR-Inverter Ring Oscillator PUF, which are especially designed to thwart machine learning attacks, the prediction accuracy is much lower and in the range of 9.8 % to 14.5 %.

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Analyzing the performance of a configurable ROPUF design controlled by programmable XOR gates

Cited by 17 publications

References 7 publications

Reliable Delay Based Algorithm to Boost PUF Security Against Modeling Attacks

Reliable Delay Based Algorithm to Boost PUF Security Against Modeling Attacks

A Dynamic Area-Efficient Technique to Enhance ROPUFs Security Against Modeling Attacks

Analysis of Swarm Intelligence Based ANN Algorithms for Attacking PUFs

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