Comparative evaluation of machine learning algorithms for phishing site detection.

ABSTRACT: The advent of Internet technologies has resulted in the proliferation of electronic trading and the use of the Internet for electronic transactions, leading to a rise in unauthorized access to sensitive user information and the depletion of resources for enterprises. As a consequence, there has been a marked increase in phishing, which is now considered one of the most common types of online theft. Phishing attacks are typically directed towards obtaining confidential information, such as login credentials for online banking platforms and sensitive systems. The primary objective of such attacks is to acquire specific personal information to either use for financial gain or commit identity theft. Recent studies have been conducted to combat phishing attacks by examining domain characteristi

SUBMITTER: Almujahid NF 

PROVIDER: S-EPMC11232597 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature