| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Uporaba umetne inteligence na področju varnosti gesel
Authors:ID Malek, Matej (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Taneski, Viktor (Comentor)
Files:.pdf VS_Malek_Matej_2024.pdf (1,71 MB)
MD5: B688D5B18E7781BE7C7D50DEB70E78CA
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi smo predstavili osnove umetne inteligence oziroma strojnega učenja in njeno uporabo v varnosti sodobnih informacijskih tehnologij ter rešitev. Podali smo razloge, zakaj je njena uporaba koristna in potrebna ter kako se z njo že srečujemo v vsakdanjem življenju. Navedli smo tudi bistvene težave in napade, s katerimi se srečujemo, ter kako jih ljudje rešujejo s pomočjo umetne inteligence. V teoretičnem delu smo se osredotočili na razjasnitev pojmov, zgodovino napadov in razlago uporabljenih algoritmov. V praktičnem delu pa smo opravili primerjavo treh algoritmov strojnega učenja za ugotavljanje moči gesla, s čimer smo prišli do zaključka, da so nevronske mreže, čeprav najbolj časovno potratne, tudi najboljša izbira.
Keywords:K-najbližji sosed, klasifikacija, nevronske mreže, odločitvena drevesa, strojno učenje
Place of publishing:Maribor
Publisher:[M. Malek]
Year of publishing:2024
PID:20.500.12556/DKUM-89597 New window
UDC:004.8:004.056.523(043.2)
COBISS.SI-ID:220418819 New window
Publication date in DKUM:19.09.2024
Views:0
Downloads:30
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

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:25.07.2024

Secondary language

Language:English
Title:The use of artificial intelligence in the field of password safety
Abstract:In the thesis, we presented the fundamentals of artificial intelligence, or machine learning, and its application in the security of modern information technologies and solutions. We provided reasons why their use is beneficial and necessary, as well as how we encounter them in everyday life. We also outlined essential problems and attacks we face and how artificial intelligence addresses them. In the theoretical part, we focused on clarifying concepts, the history of attacks, and explaining the algorithms used. In the practical part, we conducted a comparison of three machine learning algorithms for assessing password strength, where the verdict of the experiment was, that although neural networks needed the most time for model training, they proved to be the most efficient and accurate.
Keywords:K-Nearest neighbors, classification, neural networks, decision trees, machine learning


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica