| Title: | Strength analysis of real-life passwords using Markov models |
|---|
| Authors: | ID Taneski, Viktor (Author)
ID Kompara, Marko (Author)
ID Heričko, Marjan (Author)
ID Brumen, Boštjan (Author) |
|---|
| Files: |  applsci-11-09406-v2.pdf (695,62 KB)
MD5: EFCD2668FEE79296107F88279E9D941D
 https://www.mdpi.com/2076-3417/11/20/9406
|
|---|
| Language: | English |
|---|
| Work type: | Article |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
|
|---|
| Abstract: | Recent literature proposes the use of a proactive password checker as method for preventing
users from creating easy-to-guess passwords. Markov models can help us create a more effective
password checker that would be able to check the probability of a given password to be chosen by an
attacker. We investigate the ability of different Markov models to calculate a variety of passwords
from different topics, in order to find out whether one Markov model is sufficient for creating a more
effective password checker. The results of our study show that multiple models are required in order
to be able to do strength calculations for a wide range of passwords. To the best of our knowledge,
this is the first password strength study where the effect of the training password datasets on the
success of the model is investigated. |
|---|
| Keywords: | Markov models, passwords, parword analysis, password strength, password score |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Submitted for review: | 20.08.2021 |
|---|
| Article acceptance date: | 30.09.2021 |
|---|
| Publication date: | 11.10.2021 |
|---|
| Publisher: | MDPI |
|---|
| Year of publishing: | 2021 |
|---|
| Number of pages: | 32 str. |
|---|
| Numbering: | Vol. 11, no. 20 |
|---|
| PID: | 20.500.12556/DKUM-93320  |
|---|
| UDC: | 004.5 |
|---|
| ISSN on article: | 2076-3417 |
|---|
| COBISS.SI-ID: | 80547843 |
|---|
| DOI: | 10.3390/app11209406 |
|---|
| Copyright: | © 2021 by the authors |
|---|
| Publication date in DKUM: | 19.06.2025 |
|---|
| Views: | 148 |
|---|
| Downloads: | 10 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
