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Authors: Bogdan Groza ; Pal-Stefan Murvay and Tudor Andreica

Affiliation: Politehnica University of Timisoara, Romania

Keyword(s): Physical Fingerprinting, Randomness, SRAM.

Related Ontology Subjects/Areas/Topics: Applied Cryptography ; Cryptographic Techniques and Key Management ; Data Engineering ; Databases and Data Security ; Identification, Authentication and Non-Repudiation ; Information and Systems Security ; Network Security ; Security in Distributed Systems ; Sensor and Mobile Ad Hoc Network Security

Abstract: It is well known that the state of uninitialized SRAM provides a unique pattern on each device due to physical imperfections. Both the affinity toward some fixed state as well as the deviation from it can be successfully exploited in security mechanisms. Fixed values provide an efficient mechanism for physical identification and for extracting cryptographic keys while the randomness of bits that flip can be exploited as input for PRNGs that are vital for the generation of ephemeral keys. In this work we try to give an assessment of these two capabilities on several state-of-the art automotive grade embedded platforms. The security of embedded devices inside vehicles has gained serious attention in the past years due to the impact of emerging technologies, e.g., self-driving cars, vehicle-to-vehicle communication, which are futile in the absence of the appropriate security mechanisms. Our examination of several state-of-the-art automotive grade controllers shows that SRAM can offer su fficient entropy and patterns for identification but careful testing is needed as some models fail to provide the expected results (More)

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Paper citation in several formats:
Groza, B.; Murvay, P. and Andreica, T. (2016). Evaluating SRAM as Source for Fingerprints and Randomness on Automotive Grade Controllers. In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT; ISBN 978-989-758-196-0; ISSN 2184-3236, SciTePress, pages 109-120. DOI: 10.5220/0005966401090120

@conference{secrypt16,
author={Bogdan Groza. and Pal{-}Stefan Murvay. and Tudor Andreica.},
title={Evaluating SRAM as Source for Fingerprints and Randomness on Automotive Grade Controllers},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT},
year={2016},
pages={109-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005966401090120},
isbn={978-989-758-196-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT
TI - Evaluating SRAM as Source for Fingerprints and Randomness on Automotive Grade Controllers
SN - 978-989-758-196-0
IS - 2184-3236
AU - Groza, B.
AU - Murvay, P.
AU - Andreica, T.
PY - 2016
SP - 109
EP - 120
DO - 10.5220/0005966401090120
PB - SciTePress

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