Primjena umjetne inteligencije u području kibernetičke sigurnosti

master's thesis

• Title (english): Using Artificial Intelligence in Cyber Security
• Author: David Aleksić
• Mentor: Ivan Cvitić (mentor)
• Committee member: Dragan Peraković (predsjednik povjerenstva)
• Committee member: Marko Periša (član povjerenstva)
• Committee member: Ivan Grgurević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Transport); (Department of Information and Communications Traffic); Zagreb
• Defense date and country: 2023-09-21, 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: Umjetna inteligencija; Strojno učenje; Duboko učenje; Phishing napadi
• Keywords (english): Artificial Intelligence; Machine Learning; Deep Learning; Phishing attacks
• Language: croatian
• URN:NBN: urn:nbn:hr:119:446211
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-10-03 13:25:22