DocumentCode
3162625
Title
Faults detection schemes for PP-2 cipher
Author
Idzikowska, Ewa
Author_Institution
Poznan Univ. of Technol., Poznań, Poland
fYear
2015
fDate
18-19 May 2015
Firstpage
1
Lastpage
4
Abstract
Hardware implementations of cryptographic systems are becoming more and more popular, due to new market needs and to reduce costs. However, system security may be seriously compromised by implementation attacks, such as side channel analysis or fault analysis. Fault-based side-channel cryptanalysis is very effective against symmetric and asymmetric encryption algorithms. Although hardware and time redundancy based Concurrent Error Detection (CED) architectures can be used to thwart such attacks, they entail significant overheads. In this paper we investigate systematic approaches to low-cost CED techniques for symmetric encryption algorithm PP-2, based on inverse relationships that exist between encryption and decryption at algorithm level, round level, and operation level. We show architectures that explore tradeoffs among performance penalty, area overhead, and fault detection latency.
Keywords
cryptography; error detection; fault diagnosis; redundancy; CED architectures; PP-2 cipher; algorithm level decryption; asymmetric encryption algorithms; cryptographic systems; fault analysis; fault detection latency; fault detection schemes; fault-based side-channel cryptanalysis; hardware implementations; implementation attacks; low-cost CED techniques; operation level decryption; round level decryption; side channel analysis; symmetric encryption algorithm; system security; time redundancy based concurrent error detection architectures; Ciphers; Encryption; Fault detection; Hardware; Redundancy; Registers; CED; PP-2; error detection latency; fault detection; hardware redundancy; time redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications and Information Systems (ICMCIS), 2015 International Conference on
Conference_Location
Cracow
Print_ISBN
978-8-3934-8485-0
Type
conf
DOI
10.1109/ICMCIS.2015.7158695
Filename
7158695
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