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Bias Cancellation of MixColumns

  • Conference paper
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Security, Privacy, and Applied Cryptography Engineering (SPACE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13783))

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Abstract

At COSADE’2020, Carré et al. established a novel bias-cancelling property of the AES MixColumns matrix that effectively corrects any skewed output distribution of a state byte due to a faulty substitution box. Consequently, any effected byte is rendered uniform upon passing through the MixColumns layer.

In this work in progress paper, we revisit and generalize this result and in the process identify a large class of matrices that exhibit this bias cancellation phenomenon and conclude with a foray into how this property is advantageous in the design of countermeasures against Persistent Fault Injections.

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References

  1. Caforio, A., Banik, S.: A study of persistent fault analysis. In: Bhasin, S., Mendelson, A., Nandi, M. (eds.) SPACE 2019. LNCS, vol. 11947, pp. 13–33. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35869-3_4

    Chapter  Google Scholar 

  2. Carré, S., Guilley, S., Rioul, O.: Persistent fault analysis with few encryptions. In: Bertoni, G.M., Regazzoni, F. (eds.) COSADE 2020. LNCS, vol. 12244, pp. 3–24. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-68773-1_1

    Chapter  Google Scholar 

  3. Engels, S., Schellenberg, F., Paar, C.: SPFA: SFA on multiple persistent faults. In: 17th Workshop on Fault Detection and Tolerance in Cryptography, FDTC 2020, Milan, Italy, 13 September 2020, pp. 49–56. IEEE (2020). https://doi.org/10.1109/FDTC51366.2020.00014

  4. Fuhr, T., Jaulmes, É., Lomné, V., Thillard, A.: Fault attacks on AES with faulty ciphertexts only. In: Fischer, W., Schmidt, J. (eds.) 2013 Workshop on Fault Diagnosis and Tolerance in Cryptography, Los Alamitos, CA, USA, 20 August 2013, pp. 108–118. IEEE Computer Society (2013). https://doi.org/10.1109/FDTC.2013.18

  5. Gruss, D., Maurice, C., Mangard, S.: Rowhammer.js: a remote software-induced fault attack in JavaScript. In: Caballero, J., Zurutuza, U., Rodríguez, R.J. (eds.) DIMVA 2016. LNCS, vol. 9721, pp. 300–321. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40667-1_15

    Chapter  Google Scholar 

  6. Li, W., et al.: Ciphertext-only fault analysis on the led lightweight cryptosystem in the internet of things. IEEE Trans. Dependable Secur. Comput. 16(3), 454–461 (2019). https://doi.org/10.1109/TDSC.2018.2857770

    Article  Google Scholar 

  7. Soleimany, H., Bagheri, N., Hadipour, H., Ravi, P., Bhasin, S., Mansouri, S.: Practical multiple persistent faults analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 367–390 (2022). https://doi.org/10.46586/tches.v2022.i1.367-390

  8. Zhang, F., et al.: Persistent fault analysis on block ciphers. IACR Trans. Cryptogr. Hardw. Embed. Syst. 150–172 (2018). https://doi.org/10.13154/tches.v2018.i3.150-172

  9. Zhang, F., et al.: Persistent fault attack in practice. IACR Trans. Cryptogr. Hardw. Embed. Syst. 172–195 (2020). https://doi.org/10.13154/tches.v2020.i2.172-195

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Correspondence to Subhadeep Banik .

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Banik, S., Caforio, A., Papagiannopoulos, K., Regazzoni, F. (2022). Bias Cancellation of MixColumns. In: Batina, L., Picek, S., Mondal, M. (eds) Security, Privacy, and Applied Cryptography Engineering. SPACE 2022. Lecture Notes in Computer Science, vol 13783. Springer, Cham. https://doi.org/10.1007/978-3-031-22829-2_4

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  • DOI: https://doi.org/10.1007/978-3-031-22829-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22828-5

  • Online ISBN: 978-3-031-22829-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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