Algorithm for detecting malicious and legitimate URLs using support vector machines (SVM)

Abstract

This research examines the use of artificial intelligence (AI) in the field of cybersecurity, offering a comprehensive perspective on how advanced AI methods can enhance protection against cyber threats. The fundamentals of cybersecurity are reviewed, emphasizing their importance in safeguarding data and systems. The methodology of AI, specifically Support Vector Machines (SVM), is analyzed for its effectiveness in detecting attacks. Types of threats such as phishing and malware are also examined. To assess the practical effectiveness of these methods, experiments were conducted using public data repositories. The results indicate that SVM, among other techniques, can significantly improve the detection and response to cyber threats. This research highlights the critical role of AI in the evolution of cybersecurity and suggests future directions for research and application in this vital field.