prikaz prve stranice dokumenta Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške
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master's thesis
Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:844899
Maldini, Antun
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Maldini, A. (2018). Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:844899

Maldini, Antun. "Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:844899

Maldini, Antun. "Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:844899

Maldini, A. (2018). 'Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 10 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:844899

Maldini A. Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 May 10] Available at: https://urn.nsk.hr/urn:nbn:hr:168:844899

A. Maldini, "Evolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:844899

Metadata
TitleEvolucijske heuristike za pretragu prostora parametara napada umetanjem pogreške
Title (english)Evolutionary Heuristics for Fault Injection Parameter Space Search
AuthorAntun Maldini
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberVlado Sruk (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kriptografija je u temeljima velikog dijela moderne računalne infrastrukture, stoga je vrlo bitno da se u nju možemo pouzdati. Sigurnost malih, ugradbenih uređaja čini jedan dio tog. Elektromagnetsko umetanje greške (EMFI) je moćna tehnika za izvođenje napada umetanjem pogreške, ali zahtijeva odabir dobrih parametara u prostoru daleko prevelikom da bi se mogao iscrpno pretražiti. U ovom radu se iznosi evolucijski algoritam za pretragu prostora parametara za umetanje greške, kao i logika iza njegovog razvoja. Ovaj algoritam se potom koristi za pronalazak grešaka koje se koriste za algebarsku analizu grešaka (AFA) na SHA-3 (Keccak) kriptografskom heš algoritmu; dana je usporedba rezultata sa slučajnom osnovicom.
Abstract (english)
Cryptography underpins a large part of modern computer infrastructure, making its reliability very important. The security of embedded devices and their tamper-resistance is a small part of this. Electromagnetic fault injection (EMFI) is a powerful fault injection technique for conducting fault injection (FI) attacks, however it requires choosing parameters in a parameter space that's far too large to perform an exhaustive search, and presently there appears to be no good method for conducting the search for good parameters. In this thesis, an evolutionary algorithm for FI parameter search is presented, along with the rationale used in its development. This algorithm is used to find faults for an algebraic fault attack (AFA) on the SHA-3 (Keccak) cryptographic hash algorithm, and its results are compared with the random baseline.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:844899
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 22:31:04