NoPUF: A Novel PUF Design Framework Toward Modeling Attack Resistant PUFs

Wang, Antian; Tan, Weihang; Wen, Yuejiang; Lao, Yingjie

doi:10.1109/tcsi.2021.3067319

Cited by 17 publications

(7 citation statements)

References 58 publications

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“…However, a highly reliable PUF may be vulnerable to other CRP-based ML modeling methods. [18] Therefore, a new method to overcome such a trade-off is required.…”

Section: G Reliability Based Modelingmentioning

confidence: 99%

“…Thus, the complexity of the system can be increased and manipulated by varying the parameters of the modulus process, without significant hardware overhead. The proposed design is an alternative framework to NoPUF [18], which can be used to balance ML resiliency and reliability, while improving uniqueness. A recent study (NMQ-PUF [19]) has employed nonmonotonic quantization (NMQ) to enhance the resilience of machine learning (ML) models.…”

Section: Introductionmentioning

confidence: 99%

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A Design Strategy to Improve Machine Learning Resiliency for Ring Oscillator Physically Unclonable Function

Jiang

Wang

2023

IEEE Access

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Physically unclonable functions (PUFs) are hardware security primitives that utilize nonreproducible manufacturing variations to provide device-specific challenge-response pairs (CRPs). Such primitives are desirable for applications such as communication and intellectual property protection. PUFs have been gaining considerable interest from both the academic and industrial communities because of their simplicity and stability. However, many recent studies have exposed PUFs to machine-learning (ML) modeling attacks. To improve the resilience of a system to general ML attacks instead of a specific ML technique, a common solution is to improve the complexity of the system. Structures, such as XOR-PUFs, can significantly increase the nonlinearity of PUFs to provide resilience against ML attacks. However, an increase in complexity often results in an increase in area and/or a decrease in reliability. This study proposes a lightweight ring oscillator (RO)-based PUFs using an additional modulus process to improve ML resiliency. The idea was to increase the complexity of the RO-PUF without significant hardware overhead by applying a modulus process to the outcomes from the RO frequency counter. We also present a thorough investigation of the design space to balance ML resiliency and other performance metrics such as reliability, uniqueness, and uniformity.

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“…However, a highly reliable PUF may be vulnerable to other CRP-based ML modeling methods. [18] Therefore, a new method to overcome such a trade-off is required.…”

Section: G Reliability Based Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Design Strategy to Improve Machine Learning Resiliency for Ring Oscillator Physically Unclonable Function

Jiang

Wang

2023

IEEE Access

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“…In this kind of attack, the adversary collects a subset of CRPs (typically hundreds of them) and use the aforementioned techniques to build a mathematical model to predict PUF responses. In this respect, several countermeasures at the PUF architecture level have been presented in the literature [32], [33]. In addition, the integration of countermeasures at different levels (including protocol level) is highly recommended.…”

Section: ) Secret Disclosure Attackmentioning

confidence: 99%

Using a Privacy-Enhanced Authentication Process to Secure Internet of Things Infrastructures

Rostampour

Bagheri

Ghavami

et al. 2023

Preprint

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Over the last decade, technological advances in smart grids have permitted the modernization of legacy electricity networks. As Internet of Things(IoT)-based smart grids are becoming an efficient response to managing changing electric demand, the heterogeneous network of equipment required to make these Cyber-Physical Systems a reality poses some security threats. This paper proposes a novel mutual authentication and key agreement scheme to ensure communications security and protect users' privacy in smart grid applications. In the proposed scheme (named EPSG), an Elliptic Curve Cryptography (ECC) module and a Physical Unclonable Function (PUF) are used simultaneously to provide acceptable confidentiality and integrity levels. The security analysis demonstrates that the EPSG has a robust security posture regarding transferred messages on the communication channel and physical attacks. In addition, EPSG is resistant to modeling attacks as one of the main vulnerabilities of PUF modules. Furthermore, by implementing the EPSG on an Arduino UNO microcontroller, a comparative performance evaluation in terms of computational complexity, communication overhead, and power consumption demonstrates the efficiency of the proposed EPSG.

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“…[7]- [9]. At protocol layer, various authentication schemes and the introduction of random factors can enable trusted verifiers and malicious attackers to obtain asymmetric information to achieve security requirements [10]. However, many protocols have been reported to be broken by sophisticate attacks [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

A Generic Dynamic Responding Mechanism and Secure Authentication Protocol for Strong PUFs

Wang

et al. 2022

IEEE Trans. VLSI Syst.

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As a lightweight hardware security primitive, PUFs can provide reliable identity authentication for devices of Internet of things (IoTs) with limited resources. However, the delay-based PUF structures in authentication protocols have static responding behaviors, which make them vulnerable to modeling attacks. To address this issue, many complex PUF designs have been designed to increase the nonlinearity of their models. However, most of them can still be broken by modeling-based machine learning (ML) attacks. In this paper, a dynamic responding mechanism for PUF designs to generate dynamic responses is proposed. Different from the concept of logically reconfigurable PUFs, the proposed mechanism does not rely on external inputs to provide reconfiguration signals. And different from the conventional PUF authentication protocols that use large-size LFSR to extend the master challenge, the proposed scheme uses internally generated dynamic signals to obfuscate the master challenge to generate multiple sub-challenges. These sub-challenges are then input to the underlying strong PUF to generate multi-bit dynamic responses. It can prevent an attacker from obtaining valid challenge-response pairs (CRPs) for the underlying PUF. A security authentication protocol is also proposed, the special authentication bit-string design can resist both conventional ML attacks and the latest covariance matrix adaptation evolution strategies (CMA-ES) variant.

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NoPUF: A Novel PUF Design Framework Toward Modeling Attack Resistant PUFs

Cited by 17 publications

References 58 publications

A Design Strategy to Improve Machine Learning Resiliency for Ring Oscillator Physically Unclonable Function

A Design Strategy to Improve Machine Learning Resiliency for Ring Oscillator Physically Unclonable Function

Using a Privacy-Enhanced Authentication Process to Secure Internet of Things Infrastructures

A Generic Dynamic Responding Mechanism and Secure Authentication Protocol for Strong PUFs

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