Abstract
Integrated Circuits (ICs) and electronic devices became the main part of human daily life (mobile, home, car, etc.). However, for the safety of the transported information to and from these devices, some specifics security measures should be taken. In general, ICs are a source of high randomness due to the manufacturing variation process which elects them to be potential physically unclonable functions (PUFs) and known as Silicon PUFs (SPUFs). Many propositions have shown that SPUFs could guarantee the three pillars of security: confidentiality, authenticity, and privacy of the user information by these devices. More importantly, extracting strong cryptographic keys from them, error correction, and hashing code techniques should be considered. Unfortunately concerning Silicon PUFs, generating many time the same response for the same input is not possible due to many factors especially environmental variables such as noise, supply voltage, temperature and aging. To overcome this issue and recover the original response from the noisy one, a secure sketch based approach is recommended. This paper proposes a framework that generates easily the cryptographic keys and efficiently recovers them for a Silicon PUF. The experiments have been validated on an Arbiter PUF under different temperatures.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alamélou, Q., et al.: Pseudoentropic isometries: a new framework for fuzzy extractor reusability. In: Proceedings of the 2018 on Asia Conference on Computer and Communications Security, pp. 673–684 (2018)
Delvaux, J.: Security analysis of PUF-based key generation and entity authentication. Ph. D. dissertation (2017)
Delvaux, J., Gu, D., Schellekens, D., Verbauwhede, I.: Helper data algorithms for PUF-based key generation: overview and analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(6), 889–902 (2014)
Delvaux, J., Gu, D., Verbauwhede, I., Hiller, M., Yu, M.-D.M.: Efficient fuzzy extraction of PUF-induced secrets: theory and applications. In: Gierlichs, B., Poschmann, A.Y. (eds.) CHES 2016. LNCS, vol. 9813, pp. 412–431. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-53140-2_20
Dodis, Y., Reyzin, L., Smith, A.: Fuzzy extractors: how to generate strong keys from biometrics and other noisy data. In: Cachin, C., Camenisch, J.L. (eds.) EUROCRYPT 2004. LNCS, vol. 3027, pp. 523–540. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-24676-3_31
Gianfelici, G., Kampermann, H., Bruß, D.: Theoretical framework for physical unclonable functions, including quantum readout. Phys. Rev. A 101(4), 042337 (2020)
Hiller, M., Kürzinger, L., Sigl, G.: Review of error correction for PUFs and evaluation on state-of-the-art FPGAs. J. Cryptogr. Eng. 10, 229–247 (2020)
Huang, Z., Wang, Q.: A PUF-based unified identity verification framework for secure IoT hardware via device authentication. World Wide Web 23(2), 1057–1088 (2020)
Kang, H., Hori, Y., Katashita, T., Hagiwara, M., Iwamura, K.: Performance analysis for PUF data using fuzzy extractor. In: Jeong, Y.-S., Park, Y.-H., Hsu, C.-H.R., Park, J.J.J.H. (eds.) Ubiquitous Information Technologies and Applications. LNEE, vol. 280, pp. 277–284. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-642-41671-2_36
van der Leest, V., Preneel, B., van der Sluis, E.: Soft decision error correction for compact memory-based PUFs using a single enrollment. In: Prouff, E., Schaumont, P. (eds.) CHES 2012. LNCS, vol. 7428, pp. 268–282. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33027-8_16
Maes, R., Tuyls, P., Verbauwhede, I.: A soft decision helper data algorithm for SRAM PUFs. In: 2009 IEEE International Symposium on Information Theory, pp. 2101–2105. IEEE (2009)
Maes, R., Van Herrewege, A., Verbauwhede, I.: PUFKY: a fully functional PUF-based cryptographic key generator. In: Prouff, E., Schaumont, P. (eds.) CHES 2012. LNCS, vol. 7428, pp. 302–319. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33027-8_18
Ouchani, S.: Ensuring the functional correctness of IoT through formal modeling and verification. In: Abdelwahed, E.H., Bellatreche, L., Golfarelli, M., Méry, D., Ordonez, C. (eds.) MEDI 2018. LNCS, vol. 11163, pp. 401–417. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00856-7_27
Roel, M.: Physically Unclonable Functions: Constructions, Properties and Applications. Katholieke Universiteit Leuven, Belgium (2012)
Wen, Y., Lao, Y.: Efficient fuzzy extractor implementations for PUF based authentication. In: 2017 12th International Conference on Malicious and Unwanted Software, pp. 119–125. IEEE (2017)
Wen, Y., Liu, S., Han, S.: Reusable fuzzy extractor from the decisional Diffie-Hellman assumption. Designs Codes Cryptogr. 86(11), 2495–2512 (2018)
Zerrouki, F., Ouchani, S., Bouarfa, H.: Quantifying security and performance of physical unclonable functions. In: 2020 7th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), pp. 1–4 (2020)
Zerrouki, F., Ouchani, S., Bouarfa, H.: Towards an automatic evaluation of the performance of physical unclonable functions. In: Hatti, M. (eds.) Artificial Intelligence and Renewables Towards an Energy Transition. International Conference in Artificial Intelligence in Renewable Energetic Systems, pp. 775–781. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-63846-7_74
Zerrouki, F., Ouchani, S., Bouarfa, H.: A low-cost authentication protocol using Arbiter-PUF. In: Attiogbé, C., Ben Yahia, S. (eds.) MEDI 2021. LNCS, vol. 12732, pp. 101–116. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-78428-7_9
Zhao, B., Zhao, P., Fan, P.: ePUF: a lightweight double identity verification in IoT. Tsinghua Sci. Technol. 25(5), 625–635 (2020)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Zerrouki, F., Ouchani, S., Bouarfa, H. (2021). A Generation and Recovery Framework for Silicon PUFs Based Cryptographic Key. In: Bellatreche, L., Chernishev, G., Corral, A., Ouchani, S., Vain, J. (eds) Advances in Model and Data Engineering in the Digitalization Era. MEDI 2021. Communications in Computer and Information Science, vol 1481. Springer, Cham. https://doi.org/10.1007/978-3-030-87657-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-87657-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87656-2
Online ISBN: 978-3-030-87657-9
eBook Packages: Computer ScienceComputer Science (R0)