Thesis Details

Zdokonalení pravděpodobnostních metod pro lámání hesel

Master's Thesis Student: Lištiak Filip Academic Year: 2018/2019 Supervisor: Hranický Radek, Ing., Ph.D.
English title
Enhancement of Probabilistic Methods for Password Cracking
Language
Czech
Abstract

This thesis describes passwords cracking using probabilistic context-free grammars, specifically PCFG Cracker tool. The aim of the thesis is to design and implement enhancements to this tool, which reduce the size of output dictionaries while maintaining acceptable success rate. This work also solves critical parts in the tool that slow down the overall duration of the program. Another goal of the thesis is to analyze and implement targeted attack dictionaries that increase the scope and success rate of generated passwords.

Keywords

pcfg, password, cracking, probability, security, grammar, enhancement, improvement, attack dictionary

Department
Degree Programme
Information Technology, Field of Study Management and Information Technologies
Files
Status
defended, grade B
Date
17 June 2019
Reviewer
Committee
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Polášek Ivan, doc. Ing., Ph.D. (FIIT STU), člen
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT), člen
Citation
LIŠTIAK, Filip. Zdokonalení pravděpodobnostních metod pro lámání hesel. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-17. Supervised by Hranický Radek. Available from: https://www.fit.vut.cz/study/thesis/21746/
BibTeX
@mastersthesis{FITMT21746,
    author = "Filip Li\v{s}tiak",
    type = "Master's thesis",
    title = "Zdokonalen\'{i} pravd\v{e}podobnostn\'{i}ch metod pro l\'{a}m\'{a}n\'{i} hesel",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21746/"
}
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