Optimizing a Password Hashing Function with Hardware-Accelerated Symmetric Encryption

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Title: Optimizing a Password Hashing Function with Hardware-Accelerated Symmetric Encryption
Authors: Alvarez, Rafael | Andrade, Alicia | Zamora, Antonio
Research Group/s: Criptología y Seguridad Computacional
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Symmetric | Encryption | Password | Hash | Cryptography | PBKDF
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: 3-Dec-2018
Publisher: MDPI
Citation: Álvarez R, Andrade A, Zamora A. Optimizing a Password Hashing Function with Hardware-Accelerated Symmetric Encryption. Symmetry. 2018; 10(12):705. doi:10.3390/sym10120705
Abstract: Password-based key derivation functions (PBKDFs) are commonly used to transform user passwords into keys for symmetric encryption, as well as for user authentication, password hashing, and preventing attacks based on custom hardware. We propose two optimized alternatives that enhance the performance of a previously published PBKDF. This design is based on (1) employing a symmetric cipher, the Advanced Encryption Standard (AES), as a pseudo-random generator and (2) taking advantage of the support for the hardware acceleration for AES that is available on many common platforms in order to mitigate common attacks to password-based user authentication systems. We also analyze their security characteristics, establishing that they are equivalent to the security of the core primitive (AES), and we compare their performance with well-known PBKDF algorithms, such as Scrypt and Argon2, with favorable results.
Sponsor: Research partially supported by the Spanish Government under Project Grant TEC2014-54110-R (CASUS).
URI: http://hdl.handle.net/10045/84570
ISSN: 2073-8994
DOI: 10.3390/sym10120705
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.3390/sym10120705
Appears in Collections:INV - CSC - Artículos de Revistas

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