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Optimal Recovery of Secret Keys from Weak Side Channel Traces

Schindler, Werner ; Walter, Colin
Hrsg.: Parker, M. G. (2009)
Optimal Recovery of Secret Keys from Weak Side Channel Traces.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

It should be difficult to extract secret keys using weak side channel leakage from embedded crypto-systems which employ standard counter-measures. Here we consider the case of key re-use with randomised exponent recoding. An optimum strategy is presented and proved, but it has the disadvantage of impracticality for realistic key sizes. Developed from the basis of an optimal decision strategy, some modified, computationally feasible versions are studied for effectiveness. This shows how to modify existing algorithms and pick their parameters for the best results.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2009
Herausgeber: Parker, M. G.
Autor(en): Schindler, Werner ; Walter, Colin
Art des Eintrags: Bibliographie
Titel: Optimal Recovery of Secret Keys from Weak Side Channel Traces
Sprache: Deutsch
Publikationsjahr: Dezember 2009
Verlag: Springer
Buchtitel: Cryptography and Coding - IMA 2009
Reihe: LNCS
Kurzbeschreibung (Abstract):

It should be difficult to extract secret keys using weak side channel leakage from embedded crypto-systems which employ standard counter-measures. Here we consider the case of key re-use with randomised exponent recoding. An optimum strategy is presented and proved, but it has the disadvantage of impracticality for realistic key sizes. Developed from the basis of an optimal decision strategy, some modified, computationally feasible versions are studied for effectiveness. This shows how to modify existing algorithms and pick their parameters for the best results.

Freie Schlagworte: Secure Things;Side channel leakage, power analysis, optimal strategy
ID-Nummer: TUD-CS-2009-1833
Fachbereich(e)/-gebiet(e): LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
Hinterlegungsdatum: 30 Dez 2016 20:23
Letzte Änderung: 03 Jun 2018 21:30
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