Abstract
TinyJambu is one the 10 finalists in the NIST Lightweight Cryptography (LWC) Standardization Project. This Authenticated Encryption with Associated Data algorithm is very fast and extremely small in terms of the hardware needed for its implementation. In this work, we study a differential cryptanalytic attack against TinyJambu. It is an analysis that goes deeper than previous works found in the literature as well as it also obtains better differential probabilities than those of other studies. More precisely, we develop a differential forgery attack against nonce and associated data with probability 2−66.7712, what is much better than that one obtained by the own designers of value 2−80 and better than the best probability 2−70.12 obtained by other authors. In brief, we have reduced the margin of security against a forgery attack for this proposal of lightweight cryptosystem.
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
National Institute of Standards and Technology. Lightweight Cryptography (LWC) Standardization Project, 2019. https//csrc.nist.gov/projects/lightweight-cryptography. Accessed 30 Apr 2023/04/30
NIST Lightweight Cryptography Finalists. https://csrc.nist.gov/Projects/lightweight-cryptography/finalists. Accessed 24 Apr 2023
Wu, H., Huang, T.: TinyJAMBU: A Family of Lightweight Authenticated Encryption Algorithms. The NIST Lightweight Cryptography (LWC) Standardization Project (A Round-2 Candidate) (2020). https://csrc.nist.gov/CSRC/media/Projects/lightweight-cryptography/documents/round-2/spec-doc-rnd2/TinyJAMBU-spec-round2.pdf
Saha, D., Sasaki, Y., Danping, S., Sibleyras, F., Sun, S., Zhang, Y.: On the security margin of TinyJAMBU with refined differential and linear cryptanalysis. IACR Trans. Symmetric Cryptol. 2020(3), 152–174 (2020)
Mouha, N., Wang, Q., Gu, D., Preneel, B.: Differential and linear cryptanalysis using mixed-integer linear programming. In: Wu, C.K., Yung, M., Lin, D. (eds.) Inscrypt 2011, LNCS, vol. 7537, pp. 57–76. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34704-7_5
Teng, W., Salam, I., Yau, W.C., Pieprzyk, J., Phan, R.C.: Cube attacks on round-reduced TiniJAMBU. Sci. Rep. 12, 5317 (2022). https://doi.org/10.1038/s41598-022-09004-3. Nature Portfolio
Gurobi Optimizer. http://www.gurobi.com/
Acknowledgements
This work is part of the R+D+i grant P2QProMeTe (PID2020-112586RB-I00), funded by MCIN/AEI/10. 13039/501100011033.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Fúster-Sabater, A., Pazo-Robles, M.E. (2023). Reducing the Security Margin Against a Differential Attack in the TinyJambu Cryptosystem. In: García Bringas, P., et al. International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). CISIS ICEUTE 2023 2023. Lecture Notes in Networks and Systems, vol 748. Springer, Cham. https://doi.org/10.1007/978-3-031-42519-6_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-42519-6_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-42518-9
Online ISBN: 978-3-031-42519-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)