부산대학교 도서관

Cybercrimes have risen steadily since the Covid-19 epidemic. Although efforts are being made to detect cyberattacks, more scientific research is still needed as cybercriminals are constantly innovating and becoming more sophisticated. Phishing is still the most common attack and a major threat to both individuals and companies. This paper aims to select the appropriate machine learning algorithm to build an accurate model capable of detecting phishing attacks. After running several algorithms belonging to different ML categories, the obtained results show that Random Forest was the best algorithm with a high accuracy value of 98.36%.