Conference Papers Year : 2022

Sensor-Based PUF: A Lightweight Random Number Generator for Resource Constrained IoT Devices

Maaike Hillerström
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Ikram Ullah
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Paul Havinga
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Abstract

Internet of Things (IoT) prevalence is surging swiftly over the past years, and by 2050, the number of IoT devices are expected to exceed 50 billion. IoT has been deployed in many application domains such as smart health, smart logistics and smart manufacturing. IoT has significantly improved quality of our day-to-day life. However, IoT faces multiple challenges due to its lack of adequate computational and storage capabilities and consequently it is very strenuous to implement sophisticated cryptographic mechanisms for security, trust and privacy. The number of IoT devices are increasing drastically which potentially leads to additional challenges namely transparency, scalability and central point of failure. Furthermore, the growing number of IoT applications induces the need of decentralized and resource constrained mechanisms. Therefore, in this paper, we propose a decentralized Random Number Generator (RNG) based on sensor Physical Unclonable Functions (PUF) in smart logistics scenario. PUF is a secure and lightweight source of randomness and hence suitable for constrained devices. Data is collected from various sensors and processed to extract cryptographically secure seed. NIST tests are performed to appraise the aptness of the proposed mechanism. Moreover, the seed is fed into an Elliptic Curve Cryptographic (ECC) mechanism to generate pseudo-random numbers and keys which can potentially be used for authentication, encryption and decryption purposes.
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hal-04704218 , version 1 (20-09-2024)

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Maaike Hillerström, Ikram Ullah, Paul Havinga. Sensor-Based PUF: A Lightweight Random Number Generator for Resource Constrained IoT Devices. 5th IFIP International Internet of Things Conference (IFIPIoT), Oct 2022, Amsterdam, Netherlands. pp.89-105, ⟨10.1007/978-3-031-18872-5_6⟩. ⟨hal-04704218⟩
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