PUF Based Hardware Security: A Review

Dey, Koustav; Kule, Malay; Rahaman, Hafizur

doi:10.1109/isdcs52006.2021.9397896

Cited by 10 publications

(9 citation statements)

References 9 publications

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“…For example, in a MEC environment, Tian et al 20 proposed a lightweight signature‐based authentication scheme with digital certificates. The PUF‐based authentication relies on using the physically unclonable functions (PUFs) for authentication 48 . It incorporates a challenge‐response pair mechanism, where the GCS challenges the UAVs and must provide a valid response.…”

Section: Security Analysismentioning

confidence: 99%

“…The PUF-based authentication relies on using the physically unclonable functions (PUFs) for authentication. 48 It incorporates a challenge-response pair mechanism, where the GCS challenges the UAVs and must provide a valid response. Recent works consider PUF-based authentication to leverage the identity of UAVs and enable the uniqueness of the response.…”

Section: Authentication Factor and Cryptographic Featuresmentioning

confidence: 99%

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A comprehensive security and performance assessment of UAV authentication schemes

Mekdad

Arış

Acar

et al. 2023

Security and Privacy

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In the past few years, unmanned aerial vehicles (UAVs) have significantly gained attention and popularity from industry, government, and academia. With their rapid development and deployment into the civilian airspace, UAVs play an important role in different applications, including goods delivery, search‐and‐rescue, and traffic monitoring. Therefore, providing secure communication through authentication models for UAVs is necessary for a successful and reliable flight mission. To satisfy such requirements, numerous authentication mechanisms have been proposed in the literature. However, the literature lacks a comprehensive study evaluating the security and performance of these solutions. In this article, we analyze the security and performance of 27 recent UAV authentication works by considering ten different key metrics. First, in the performance analysis, we show that the majority of UAV authentication schemes are lightweight in their communication cost. However, the storage overhead or the energy consumption is not reported by many authentication studies. Then, we reveal in the security analysis the widely employed formal models (i.e., abstract description of an authentication protocol through a mathematical model), while most of the studies lack coverage of many attacks that can target UAV systems. Afterwards, we highlight the challenges that need to be addressed in order to design and implement secure and reliable UAV authentication schemes. Finally, we summarize the lessons learned on the authentication strategies for UAVs to motivate promising direction for further research.

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Section: Security Analysismentioning

confidence: 99%

Section: Authentication Factor and Cryptographic Featuresmentioning

confidence: 99%

A comprehensive security and performance assessment of UAV authentication schemes

Mekdad

Arış

Acar

et al. 2023

Security and Privacy

View full text Add to dashboard Cite

show abstract

“…Physically unclonable functions or features (PUFs) leverage random manufacturing variations and nonlinearities to derive an immutable device identifier [125][126][127][128][129] and can be used for detecting and avoiding counterfeits. We distinguish PUFs from fingerprints in that PUFs are intentionally added to a circuit to leverage the randomness in a manufacturing process to engineer a random, but repeatable, behavior.…”

Section: Physically Unclonable Functionsmentioning

confidence: 99%

“…The second type of PUFs use digital circuits. Implementations, applications, and potential weaknesses of digital PUFs are reviewed in [125,126,129]. One standard use of a digital PUF is to authenticate the chip through a challenge-response approach.…”

Section: Physically Unclonable Functionsmentioning

confidence: 99%

“…PUFs can also be used to generate encryption keys. As pointed out in [129,130], some PUFs are vulnerable to machine learning attacks through repeatedly providing challenges to the PUF and using the obtained set of challenge-response pairs to train a machine learning algorithm. Finding PUF implementations that are less vulnerable to this kind of attack is an ongoing area of research [131].…”

Section: Physically Unclonable Functionsmentioning

confidence: 99%

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