prikaz prve stranice dokumenta Primjena umjetne inteligencije u području kibernetičke sigurnosti
  Download
PDF 1.22 MB
master's thesis
Primjena umjetne inteligencije u području kibernetičke sigurnosti
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2023. urn:nbn:hr:119:446211
Aleksić, David
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Information and Communications Traffic

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Aleksić, D. (2023). Primjena umjetne inteligencije u području kibernetičke sigurnosti (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:446211

Aleksić, David. "Primjena umjetne inteligencije u području kibernetičke sigurnosti." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:119:446211

Aleksić, David. "Primjena umjetne inteligencije u području kibernetičke sigurnosti." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:119:446211

Aleksić, D. (2023). 'Primjena umjetne inteligencije u području kibernetičke sigurnosti', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:119:446211

Aleksić D. Primjena umjetne inteligencije u području kibernetičke sigurnosti [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2023 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:119:446211

D. Aleksić, "Primjena umjetne inteligencije u području kibernetičke sigurnosti", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:119:446211

Metadata
TitlePrimjena umjetne inteligencije u području kibernetičke sigurnosti
Title (english)Using Artificial Intelligence in Cyber Security
AuthorDavid Aleksić
MentorIvan Cvitić (mentor)
Committee memberDragan Peraković (predsjednik povjerenstva)
Committee memberMarko Periša (član povjerenstva)
Committee memberIvan Grgurević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Transport)
(Department of Information and Communications Traffic)
Zagreb
Defense date and country2023-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Postal and Telecommunications Traffic
Abstract
Rad donosi pregled mogućnosti primjene metoda umjetne inteligencije u području kibernetičkih znanosti. Strojno učenje i duboko učenje su dvije najčešće korištene metode umjetne inteligencije za zaštitu sustava. Rad prikazuje kratki pregled algoritama i metoda strojnog i dubokog učenja nakon čega su izrađeni modeli strojnog učenja za prepoznavanje internetskih adresa iza kojih se kriju mogući phishing napadi.
Abstract (english)
This thesis shows the possibilities of using methods of Deep Learning and Machine Learning in the field of Cybersecurity. Machine Learning and Deep Learning are two most commonly used methods of Artificial Intelligence that are used for Cybersecurity. Thesis gives short summary of types of algorithms and methods that are used for Machine Learning and Deep Learning after which the models based on Machine Learning for detection of phishing attacks are built.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:446211
Study programmeTitle: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport
Course: Road Traffic and Transport
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-03 13:25:22