A Survey on Lightweight Entity Authentication with Strong PUFs

Delvaux, Jeroen; Peeters, Roel; Gu, Dawu; Verbauwhede, Ingrid

doi:10.1145/2818186

Cited by 151 publications

(127 citation statements)

References 58 publications

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“…The revealed flaw differs from existing attacks by Delvaux et al [9] and Becker [3] that apply to the original protocol [28] exclusively. The latter attacks comprehend the modeling of the highly correlated arbiter PUF via repeated helper data exposure; a preemptive fix can be found in the PhD thesis of Maes [19].…”

Section: A Fundamental Security Flaw In Reverse Fuzzy Extractorscontrasting

confidence: 54%

“…7 presents numerical results for various BCH codes. We focus on small codes, as these allow for an exact exhaustive evaluation of the residual minentropy using (8) and/or (9). As such, the tightness of various bounds can be assessed adequately.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Fig. 4 swaps the order of iteration in (9). Only one row suffices, i.e., each column of helper data vectors p in Figure 3 is condensed to a single square.…”

Section: Generic Boundsmentioning

confidence: 99%

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Efficient Fuzzy Extraction of PUF-Induced Secrets: Theory and Applications

Delvaux

Verbauwhede

et al. 2016

Lecture Notes in Computer Science

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Abstract. The device-unique response of a physically unclonable function (PUF) can serve as the root of trust in an embedded cryptographic system. Fuzzy extractors transform this noisy non-uniformly distributed secret into a stable high-entropy key. The overall efficiency thereof, typically depending on error-correction with a binary [n, k, d] block code, is determined by the universal and well-known (n − k) bound on the min-entropy loss. We derive new considerably tighter bounds for PUFinduced distributions that suffer from, e.g., bias or spatial correlations. The bounds are easy-to-evaluate and apply to large non-trivial codes, e.g., BCH, Hamming and Reed-Muller codes. Apart from an inherent reduction in implementation footprint, the newly developed theory also facilitates the analysis of state-of-the-art error-correction methods for PUFs. As such, we debunk the reusability claim of the reverse fuzzy extractor. Moreover, we provide proper quantitative motivation for debiasing schemes, as this was missing in the original proposals.

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Section: A Fundamental Security Flaw In Reverse Fuzzy Extractorscontrasting

confidence: 54%

Section: Numerical Resultsmentioning

confidence: 99%

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Efficient Fuzzy Extraction of PUF-Induced Secrets: Theory and Applications

Delvaux

Verbauwhede

et al. 2016

Lecture Notes in Computer Science

Self Cite

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“…As such, they present a unique challenge-response value. The challenge-response value of each PUF is registered in the server's PUF DB before sensors are distributed to the field [33][34][35][36]. Values that are used once are removed from the PUF's DB.…”

Section: Previous Studies On Smart Homesmentioning

confidence: 99%

An Efficient Secure Scheme Based on Hierarchical Topology in the Smart Home Environment

et al. 2017

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Abstract:As the Internet of Things (IoT) has developed, the emerging sensor network (ESN) that integrates emerging technologies, such as autonomous driving, cyber-physical systems, mobile nodes, and existing sensor networks has been in the limelight. Smart homes have been researched and developed by various companies and organizations. Emerging sensor networks have some issues of providing secure service according to a new environment, such as a smart home, and the problems of low power and low-computing capacity for the sensor that previous sensor networks were equipped with. This study classifies various sensors used in smart homes into three classes and contains the hierarchical topology for efficient communication. In addition, a scheme for establishing secure communication among sensors based on physical unclonable functions (PUFs) that cannot be physically cloned is suggested in regard to the sensor's low performance. In addition, we analyzed this scheme by conducting security and performance evaluations proving to constitute secure channels while consuming fewer resources. We believe that our scheme can provide secure communication by using fewer resources in a smart home environment in the future.

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“…The unreliable nature of PUF outputs, the vulnerabilities of these sensor nodes to physical attacks, and ad-hoc nature of these protocols have resulted in many security flaws which can be manipulated by the adversaries. In [30], Delvaux et al presented the security flaws of 19 different strong PUF-based authentication protocols which indicates that developing an ideal low-cost authentication protocol for IoT/CPS sensor nodes is still a challenge.…”

Section: Low-resource Communication and Computationmentioning

confidence: 99%

TSensors Vision, Infrastructure and Security Challenges in Trillion Sensor Era

2017

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With the advancement of ubiquitous computing under the hood of Internet of Things (IoT) and Cyber-Physical Systems (CPS), the number of connected devices is expected to grow exponentially in the following decade. Pervasive sensing is the backbone of any IoT/CPS application. Billions of connected devices each having multiple sensors will lead us to the age of trillion sensors. Widespread use of sensors in critical applications (e.g., smart grid, agricultural industry, food production, etc.) will present us with unique challenges. Identifying the threats well before they occur will be the key in the race against the threats posed by the adversaries in the age of trillion sensors (TSensors). In this paper, we present a detailed survey of the trends toward trillion sensors, and their applicability in recent connected applications. We identify several key areas, that need to be addressed to build a secure connected environment. There are several challenges and limitations as well which are expected to rise in the coming decade. We must be proactive in addressing those challenges to make a safe and secure environment.

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A Survey on Lightweight Entity Authentication with Strong PUFs

Cited by 151 publications

References 58 publications

Efficient Fuzzy Extraction of PUF-Induced Secrets: Theory and Applications

Efficient Fuzzy Extraction of PUF-Induced Secrets: Theory and Applications

An Efficient Secure Scheme Based on Hierarchical Topology in the Smart Home Environment

TSensors Vision, Infrastructure and Security Challenges in Trillion Sensor Era

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