Засіб виявлення фішингових атак URL з використанням нейромережевого підходу

Abstract

The paper considers the problem of detecting phishing attacks in information systems based on URL analysis. An approach based on machine learning methods, in particular Support Vector Machine, is proposed. The main features of phishing URLs are identified, which allow their classification. The effectiveness of the model is evaluated using accuracy, precision, and recall metrics, confirming the feasibility of intelligent approaches in cybersecurity tasks.