Secure PUF: Physically Unclonable Function based on Arbiter with Enhanced Resistance against Machine Learning (ML) Attacks - Archive ouverte HAL Access content directly
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Secure PUF: Physically Unclonable Function based on Arbiter with Enhanced Resistance against Machine Learning (ML) Attacks

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Abstract

Latest cryptographic algorithms are based on the storage of secret information(stored in RAM)which is prone to a number of attacks like reverse-engineering, cold-boot, side channel, device tampering, etc. Therefore new methods should be developed to enable secure transmission of data and authentication especially in IoT sectors.In the past few years promising hardware security primitive is used Physical Unclonable Functions(PUFs)which is a lightweight one-way function to extract a unique identity to each end device based on physical factors introduced during manufacturing. In this paper, we introduced a new scheme of Arbiter PUF to create an identity for each device. We have provided a scheme that is prone to machine learning attacks. Our scheme avoids the shortcoming of several previously proposed related PUF based authentication protocols that is summarized in a benchmark done in this paper.
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Dates and versions

hal-03295351 , version 1 (22-07-2021)

Identifiers

  • HAL Id : hal-03295351 , version 1

Cite

Mohammad El Hajj, Ahmad Fadlallah, Maroun Chamoun, Ahmed Serhrouchni. Secure PUF: Physically Unclonable Function based on Arbiter with Enhanced Resistance against Machine Learning (ML) Attacks. Proc. 5th Int. Conf. Sensors Electron. Instrum. Adv.(SEIA), Sep 2019, Adaje, Canary, Islands (Tenerife), Spain. ⟨hal-03295351⟩
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