Fault Injection and a Timing Channel on an Analysis Technique
John A. Clark, Jeremy L. Jacob
Abstract
John A. Clark, Jeremy L. Jacob
Abstract
Abstract. Attacks on cryptosystem implementations (e.g. security fault injection, timing analysis and differential power analysis) are amongst the most exciting developments in cryptanalysis of the past decade. Altering the internal state of a cryptosystem or profiling the system’s computational dynamics can be used to gain a huge amount of information. This paper shows how fault injection and timing analysis can be interpreted for a simulated annealing attack on Pointcheval’s Permuted Perceptron Problem (PPP) identification schemes. The work is unusual in that it concerns fault injection and timing analysis on an analysis technique. All recommended sizes of the PPP schemes are shown to be unsafe.
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Abstract. Attacks on cryptosystem implementations (e.g. security fault injection, timing analysis and differential power analysis) are amongst the most exciting developments in cryptanalysis of the past decade. Altering the internal state of a cryptosystem or profiling the system’s computational dynamics can be used to gain a huge amount of information. This paper shows how fault injection and timing analysis can be interpreted for a simulated annealing attack on Pointcheval’s Permuted Perceptron Problem (PPP) identification schemes. The work is unusual in that it concerns fault injection and timing analysis on an analysis technique. All recommended sizes of the PPP schemes are shown to be unsafe.
Key concepts: Cryptosystem, Fault injection, Computer science, Power analysis, Cryptanalysis, Side channel attack, Algorithm, Fault (geology)