Journal of Cryptographic Engineering
, Volume 4, Issue 2, pp 75-89
First online:
Lyra: password-based key derivation with tunable memory and processing costs
- Leonardo C. AlmeidaAffiliated withEscola Politécnica, Universidade de São Paulo (Poli-USP)
- , Ewerton R. AndradeAffiliated withEscola Politécnica, Universidade de São Paulo (Poli-USP)
- , Paulo S. L. M. BarretoAffiliated withEscola Politécnica, Universidade de São Paulo (Poli-USP)
- , Marcos A. SimplicioJrAffiliated withEscola Politécnica, Universidade de São Paulo (Poli-USP) Email author
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We present Lyra, a password-based key derivation scheme based on cryptographic sponges. Lyra was designed to be strictly sequential (i.e., not easily parallelizable), providing strong security even against attackers that use multiple processing cores (e.g., custom hardware or a powerful GPU). At the same time, it is very simple to implement in software and allows legitimate users to fine-tune its memory and processing costs according to the desired level of security against brute force password guessing. We compare Lyra with similar-purpose state-of-the-art solutions, showing how our proposal provides a higher security level and overcomes limitations of existing schemes. Specifically, we show that if we fix Lyra ’s total processing time \(t\) in a legitimate platform, the cost of a memory-free attack against the algorithm is exponential, while the best-known result in the literature (namely, against the scrypt algorithm) is quadratic. In addition, for an identical same processing time, Lyra allows for a higher memory usage than its counterparts, further increasing the cost of brute force attacks.
Keywords
Password-based key derivation Memory usage Cryptographic sponges- Title
- Lyra: password-based key derivation with tunable memory and processing costs
- Journal
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Journal of Cryptographic Engineering
Volume 4, Issue 2 , pp 75-89
- Cover Date
- 2014-06
- DOI
- 10.1007/s13389-013-0063-5
- Print ISSN
- 2190-8508
- Online ISSN
- 2190-8516
- Publisher
- Springer Berlin Heidelberg
- Additional Links
- Topics
- Keywords
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- Password-based key derivation
- Memory usage
- Cryptographic sponges
- Industry Sectors
- Authors
- Author Affiliations
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- 1. Escola Politécnica, Universidade de São Paulo (Poli-USP), São Paulo, Brazil
