Abstract
Authentication is one of the most important issues in the information technology field and, primarily, in Cryptography. With the diffusion of devices for the Internet of things, the interest in efficient and with low computational loads authentication protocols, has increased more and more in the last few years. Indeed, traditional protocols, based on symmetric primitives and, in general, on pseudo-random functions, are not suitable for computationally constrained devices. On the other hand, one of the most interesting families of protocols for such devices seems to be the one based on the learning parity with noise problem. In this paper, building on some previous works, we propose a new instance of a lightweight authentication protocol constructed on this problem. We describe some optimizations which could be employed to improve the efficiency of an implementation, and we give also a look at the real world, discussing the applicability of our proposal to several devices available on the market.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
As a side note, we stress that the learning parity with noise problem is considered appealing since it offers the possibility to design protocols with security reductions and, unlike other numerical problems used in Cryptography, it does not succumb to known quantum algorithms. Moreover, as stated, the protocols based on it are usually very efficient and suitable for devices with low computational power, e.g., RFID Tags.
References
D’Arco, P.: Ultralightweight cryptography. In: Lanet, J.-L., Toma, C. (eds.) SECITC 2018. LNCS, vol. 11359, pp. 1–16. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-12942-2_1
Gilbert, H., Robshaw, M.J.B., Seurin, Y.: HB\(\#\): Increasing the Security and Efficiency of HB+. In: Smart, N. (ed.) EUROCRYPT 2008. LNCS, vol. 4965, pp. 361–378. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-78967-3_21
Gilbert, H., Robshaw, M., Sibert, H.: An active attack against HB+ - a provably secure lightweight authentication protocol, Cryptology ePrint Archive, Report 2005/237 (2005)
Halevi, T., Saxena, N., Halevi, S.: Tree-based HB protocols for privacy-preserving authentication of RFID tags. In: Radio Frequency Identification: Security and Privacy Issues. Springer (2010)
Hopper, N.J., Blum, M.: Secure human identification protocols. In: Boyd, C. (ed.) ASIACRYPT 2001. LNCS, vol. 2248, pp. 52–66. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45682-1_4
Juels, A., Weis, S.A.: Authenticating pervasive devices with human protocols. In: Shoup, V. (ed.) CRYPTO 2005. LNCS, vol. 3621, pp. 293–308. Springer, Heidelberg (2005). https://doi.org/10.1007/11535218_18
Katz, J., Shin, J.S., Smith, A.: Parallel and concurrent security of the HB and HB+ protocols. J. Cryptol. 23, 402–421 (2010)
Kiltz, E., Pietrzak, K., Cash, D., Jain, A., Venturi, D.: Efficient authentication from hard learning problems. In: Paterson, K.G. (ed.) EUROCRYPT 2011. LNCS, vol. 6632, pp. 7–26. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20465-4_3
Ouafi, K., Overbeck, R., Vaudenay, S.: On the security of HB# against a man-in-the-middle attack. In: Pieprzyk, J. (ed.) ASIACRYPT 2008. LNCS, vol. 5350, pp. 108–124. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-89255-7_8
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
D’Arco, P., Nilo, M. (2019). A New Instance of a Lightweight Authentication Protocol Based on the LPN Problem. In: Esposito, C., Hong, J., Choo, KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN 2019. Communications in Computer and Information Science, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-30143-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-30143-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30142-2
Online ISBN: 978-3-030-30143-9
eBook Packages: Computer ScienceComputer Science (R0)