DocumentCode
3398461
Title
Improving and Evaluating Differential Fault Analysis on LED with Algebraic Techniques
Author
Xinjie Zhao ; Shize Guo ; Fan Zhang ; Zhijie Shi ; Chujiao Ma ; Tao Wang
Author_Institution
Dept. of Inf. Eng., Ordnance Eng. Coll., Shijiazhuang, China
fYear
2013
fDate
20-20 Aug. 2013
Firstpage
41
Lastpage
51
Abstract
This paper proposes a fault analysis technique on LED by combining algebraic cryptanalysis and differential fault analysis (DFA). The technique is called algebraic differential fault analysis (ADFA). In ADFA on LED, we use DFA to deduce the possible fault differences of the correct and faulty S-Box input in the last round, and convert them into algebraic equations. We then combine the equation set of LED with the injected fault and use the CryptoMiniSat solver to recover the secret key. Our experiments show that, on a common PC, ADFA can succeed on LED under the nibble-based fault model within three minutes and with only one fault injection, which is more efficient than previous DFA work. To evaluate DFA on LED, we first propose an improved evaluation algorithm of DFA, then provide a modified ADFA approach to compute the solutions for the secret key. The results are more accurate than previous work. We also successfully extend ADFA on LED to other fault models using a single fault injection, where traditional DFAs are difficult to launch.
Keywords
algebra; cryptography; fault diagnosis; light emitting diodes; ADFA; CryptoMiniSat solver; LED; PC; algebraic cryptanalysis; algebraic differential fault analysis; algebraic equations; fault differences; fault injection; faulty S-Box input; nibble-based fault model; secret key; Ciphers; Circuit faults; Doped fiber amplifiers; Equations; Light emitting diodes; Mathematical model; LED; algebraic fault analysis; differential fault analysis; fault evaluation; single fault injection;
fLanguage
English
Publisher
ieee
Conference_Titel
Fault Diagnosis and Tolerance in Cryptography (FDTC), 2013 Workshop on
Conference_Location
Santa Barbara, CA
Print_ISBN
978-0-7695-5059-6
Type
conf
DOI
10.1109/FDTC.2013.14
Filename
6623554
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