- Mühendislik Bilimleri ve Tasarım Dergisi
- Volume:12 Issue:2
- INTELLIGENT METHODS IN CYBER DEFENCE: MACHINE LEARNING BASED PHISHING ATTACK DETECTION ON WEB PAGES
INTELLIGENT METHODS IN CYBER DEFENCE: MACHINE LEARNING BASED PHISHING ATTACK DETECTION ON WEB PAGES
Authors : Remzi Gürfidan
Pages : 416-429
Doi:10.21923/jesd.1458955
View : 177 | Download : 53
Publication Date : 2024-06-30
Article Type : Research Paper
Abstract :Phishing attack on web pages is a type of malicious attack that aims to steal personal and sensitive information of internet users. Phishing attacks are usually conducted through various communication channels such as email, SMS, social media messages or websites. Users are directed to fake web pages of trusted organizations such as government agencies, banks, online shopping sites, etc. and asked to enter their personal information. These fake web pages may look remarkably like the original sites and are designed to mislead users. In this study, we used machine learning methods to detect the phishing attack threat of web pages and made significant progress in this area. Extensive analysis of six different machine learning algorithms showed that the Extra Trees algorithm yielded the most successful results. To further improve this success, we fine-tuned the Extra Trees algorithm and increased the correct classification success to 97.9%. In future studies, we would like to expand the dataset to include other machine learning methods to investigate the use of this technology in areas such as malware detection or the prevention of phishing attacks. This would be a crucial step towards providing more comprehensive protection in the field of cybersecurity.Keywords : Extra Trees, Siber Güvenlik, Makine Öğrenmesi, Phishing saldırısı, Siber Güvenlik, Makine Öğrenmesi, Web Site Phishing Saldırı Tespiti, Extra Trees
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