Automated Methods in Cryptographic Fault Analysis

This book presents a collection of automated methods that are useful for different aspects of fault analysis in cryptography. The first part focuses on automated analysis of symmetric cipher design specifications, software implementations, and hardware circuits. The second part provides automated de...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Breier, Jakub (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hou, Xiaolu (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bhasin, Shivam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This book presents a collection of automated methods that are useful for different aspects of fault analysis in cryptography. The first part focuses on automated analysis of symmetric cipher design specifications, software implementations, and hardware circuits. The second part provides automated deployment of countermeasures. The third part provides automated evaluation of countermeasures against fault attacks. Finally, the fourth part focuses on automating fault attack experiments. The presented methods enable software developers, circuit designers, and cryptographers to test and harden their products. Offers a complete perspective on protecting block ciphers against fault attacks - from analysis to deployment; Provides automated methods for each stage, supported by evaluation and case studies; Describes current fault analysis approaches, together with countermeasures; Includes detailed description of prototypes for each automation method that can be easily implemented and put into industrial applications.
Φυσική περιγραφή:XXI, 334 p. 90 illus., 66 illus. in color. online resource.
ISBN:9783030113339
DOI:10.1007/978-3-030-11333-9