UPOTREBA VEŠTAČKE INTELIGENCIJE ZA DETEKCIJU „PHISHING“ E-POŠTE: PRISTUP ZASNOVAN NA PRIRODNOJ OBRADI JEZIKA
Abstract
This paper explores the application of advanced artificial intelligence and machine learning algorithms to detect phishing attacks by analyzing email content. By comparing the performance of Naive Bayesian, XGBoost, RNN, and GRU models, accuracy and efficiency are analyzed, while considering the key advantages and limitations of these models in modern cyber security systems.
Fields of Study & Subjects
Spam and Phishing Detection
Cybercrime and Law Enforcement Studies
Authorship Attribution and Profiling
Publication details
- Journal / source
- Zbornik radova Fakulteta tehničkih nauka u Novom Sadu
- Volume
- 40
- Issue
- 11
- Pages
- 1230–1233
- Publication date
- 2 January 2026