Non-malleable Fuzzy Extractors

Danilo Francati; Daniele Venturi

doi:10.1007/978-3-031-54770-6_6

Non-malleable Fuzzy Extractors

Department of Information Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Proceedings
Editors	Christina Pöpper, Lejla Batina
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	135-155
Number of pages	21
ISBN (Print)	9783031547690
DOIs	https://doi.org/10.1007/978-3-031-54770-6_6
Publication status	Published - 1 Mar 2024
Event	22nd International Conference on Applied Cryptography and Network Security, ACNS 2024 - Abu Dhabi, United Arab Emirates Duration: 5 Mar 2024 → 8 Mar 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14583 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Applied Cryptography and Network Security, ACNS 2024
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	5/03/24 → 8/03/24

Keywords

fuzzy extractors
non-malleability
tampering attacks

Access to Document

10.1007/978-3-031-54770-6_6

Cite this

Francati, D., & Venturi, D. (2024). Non-malleable Fuzzy Extractors. In C. Pöpper, & L. Batina (Eds.), Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Proceedings (pp. 135-155). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14583 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-54770-6_6

Francati, Danilo ; Venturi, Daniele. / Non-malleable Fuzzy Extractors. Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Proceedings. editor / Christina Pöpper ; Lejla Batina. Springer Science and Business Media Deutschland GmbH, 2024. pp. 135-155 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Danilo Francati and Daniele Venturi",

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Francati, D & Venturi, D 2024, Non-malleable Fuzzy Extractors. in C Pöpper & L Batina (eds), Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14583 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 135-155, 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024, Abu Dhabi, United Arab Emirates, 5/03/24. https://doi.org/10.1007/978-3-031-54770-6_6

Non-malleable Fuzzy Extractors. / Francati, Danilo; Venturi, Daniele.
Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Proceedings. ed. / Christina Pöpper; Lejla Batina. Springer Science and Business Media Deutschland GmbH, 2024. p. 135-155 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14583 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Y1 - 2024/3/1

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DO - 10.1007/978-3-031-54770-6_6

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AN - SCOPUS:85187653993

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 155

BT - Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Proceedings

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Y2 - 5 March 2024 through 8 March 2024

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Francati D, Venturi D. Non-malleable Fuzzy Extractors. In Pöpper C, Batina L, editors, Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 135-155. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-54770-6_6

Non-malleable Fuzzy Extractors

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