Razvoj spletne rešitve za izračun moči gesel na osnovi Markovih verig : magistrsko delo

Mesner, Matic

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Title:	Razvoj spletne rešitve za izračun moči gesel na osnovi Markovih verig : magistrsko delo
Authors:	ID Mesner, Matic (Author) ID Hölbl, Marko (Mentor) More about this mentor... ID Taneski, Viktor (Comentor)
Files:	MAG_Mesner_Matic_2022.pdf (1,65 MB) MD5: AC3AF46F163192BA83A53D3A27DDDF84
Language:	Slovenian
Work type:	Master's thesis/paper
Typology:	2.09 - Master's Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	Težava izbire nevarnih gesel je danes zaradi neprestane rasti storitev in uporabniških računov vedno bolj resna. Kot protiukrep so se pojavila razna orodja in rešitve, ki pomagajo uporabniku izbrati močnejše geslo. V magistrskem delu smo predstavili novo rešitev za ocenjevanje moči gesel na osnovi Markovih modelov. Funkcionalnost razvite rešitve smo preverili z zbirko 10.000 testnih gesel. Rezultate testnih gesel smo nato primerjali z devetimi drugimi spletnimi merilci v namen preverjanja učinkovitosti ocenjevanja svoje rešitve. Natančnost rezultatov merilcev smo preverili tudi s testiranjem zbirke gesel proti napadu s kontekstno neodvisnimi slovnicami. Ugotovili smo, da naša rešitev proizvaja dobre rezultate, vendar še vedno ne dosega natančnosti primerljivih orodij. V delu se prav tako spoznamo s trenutnim stanjem gesel v družbi, pristopi ocenjevanjem moči gesel, napadi na gesla, merilci moči gesel in Markovimi modeli.
Keywords:	gesla, moč gesel, ocenjevanje moči gesel, Markovi modeli, merilci moči gesel
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[M. Mesner]
Year of publishing:	2022
Number of pages:	1 spletni vir (1 datoteka PDF (X, 60 f.))
PID:	20.500.12556/DKUM-83535
UDC:	004.7.056.532:519.217.2(043.2)
COBISS.SI-ID:	148613635
Publication date in DKUM:	23.01.2023
Views:	644
Downloads:	101
Metadata:
Categories:	KTFMB - FERI
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Licences

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:	14.12.2022

Secondary language

Language:	English
Title:	Developing a web solution for password strength estimation based on Markov chains
Abstract:	Due to the constant growth of services and user accounts, the use of unsafe passwords is becoming an even bigger issue in password authentication. As a countermeasure, various tools and solutions have appeared that help the user choose stronger passwords. In this master's thesis, we present a new solution for password strength estimation based on Markov models. We first check the functionality of the developed solution with a collection of 10,000 test passwords. The results of the test are then compared with nine other online password strength meters to verify the strength evaluation effectiveness of our new solution. Finally, we check the accuracy of the meters results by testing the same collection of passwords against a Probabilistic Context-Free Grammar cracking tool. We found that our solution produces accurate results that still fall short of the comparing tools. In this work we also familiarize ourselves with the current state of passwords in society, approaches to password strength estimation, attacks on passwords, password strength meters and Markov models.
Keywords:	passwords, password strength, password strength estimation, Markov models, password strength meters

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