Artificial Intelligence for the Design of Symmetric Cryptographic Primitives

Luca Mariot; Domagoj Jakobovic; Thomas Bäck; Julio C. Hernandez-Castro

doi:10.1007/978-3-030-98795-4_1

Artificial Intelligence for the Design of Symmetric Cryptographic Primitives

Luca Mariot^*, Domagoj Jakobovic, Thomas Bäck, Julio C. Hernandez-Castro

^*Corresponding author for this work

Cyber Security

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

4 Citations (Scopus)

37 Downloads (Pure)

Abstract

This chapter provides a general overview of AI methods used to support the design of cryptographic primitives and protocols. After giving a brief introduction to the basic concepts underlying the field of cryptography, we review the most researched use cases concerning the use of AI techniques and models to design cryptographic primitives, focusing mainly on Boolean functions, S-boxes and pseudorandom number generators. We then point out two interesting directions for further research on the design of cryptographic primitives where AI methods could be applied in the future.

Original language	English
Title of host publication	Security and Artificial Intelligence
Editors	L. Batina, T. Back, S. Picek
Place of Publication	Cham
Publisher	Springer
Pages	3-24
Number of pages	22
ISBN (Electronic)	978-3-030-98795-4
ISBN (Print)	978-3-030-98794-7
DOIs	https://doi.org/10.1007/978-3-030-98795-4_1
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13049
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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10.1007/978-3-030-98795-4_1

978-3-030-98795-4_1Final published version, 378 KB

Cite this

Mariot, L., Jakobovic, D., Bäck, T., & Hernandez-Castro, J. C. (2022). Artificial Intelligence for the Design of Symmetric Cryptographic Primitives. In L. Batina, T. Back, & S. Picek (Eds.), Security and Artificial Intelligence (pp. 3-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13049 ). Springer. https://doi.org/10.1007/978-3-030-98795-4_1

Mariot, Luca ; Jakobovic, Domagoj ; Bäck, Thomas et al. / Artificial Intelligence for the Design of Symmetric Cryptographic Primitives. Security and Artificial Intelligence. editor / L. Batina ; T. Back ; S. Picek. Cham : Springer, 2022. pp. 3-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Luca Mariot and Domagoj Jakobovic and Thomas B{\"a}ck and Hernandez-Castro, {Julio C.}",

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Mariot, L, Jakobovic, D, Bäck, T & Hernandez-Castro, JC 2022, Artificial Intelligence for the Design of Symmetric Cryptographic Primitives. in L Batina, T Back & S Picek (eds), Security and Artificial Intelligence. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13049 , Springer, Cham, pp. 3-24. https://doi.org/10.1007/978-3-030-98795-4_1

Artificial Intelligence for the Design of Symmetric Cryptographic Primitives. / Mariot, Luca; Jakobovic, Domagoj; Bäck, Thomas et al.
Security and Artificial Intelligence. ed. / L. Batina; T. Back; S. Picek. Cham: Springer, 2022. p. 3-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13049 ).

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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PY - 2022

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AB - This chapter provides a general overview of AI methods used to support the design of cryptographic primitives and protocols. After giving a brief introduction to the basic concepts underlying the field of cryptography, we review the most researched use cases concerning the use of AI techniques and models to design cryptographic primitives, focusing mainly on Boolean functions, S-boxes and pseudorandom number generators. We then point out two interesting directions for further research on the design of cryptographic primitives where AI methods could be applied in the future.

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Mariot L, Jakobovic D, Bäck T, Hernandez-Castro JC. Artificial Intelligence for the Design of Symmetric Cryptographic Primitives. In Batina L, Back T, Picek S, editors, Security and Artificial Intelligence. Cham: Springer. 2022. p. 3-24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-98795-4_1

Artificial Intelligence for the Design of Symmetric Cryptographic Primitives

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