Phishing attacks are a growing concern for individuals and organizations alike, with the
potential to cause significant financial and reputational damage. Traditional methods for …

The widespread use of email communication for sharing personal, professional, and
financial data has rendered it vulnerable to cyber-attacks. Detecting untrustworthy emails …

The increasing volume of unsolicited bulk emails has become a major threat to global
security. While a significant amount of research has been carried out in terms of proposing …

Short Message Services (SMS) has been most people's habits. The numbers of SMS usage
have been growing rapidly since text messages are more effective than emails. However …

In this internet era, email becomes very popular because of its fastest and easiest way of
sharing information with others. Spam is the major problem, which sends unwanted …

Sažetak This paper aims to provide results of empirical experiments on the accuracy of
different machine learning algorithms for detecting spam messages, using a public dataset …

Spam emails, which are unsolicited bulk emails, pose a significant threat in digital
communication security. To counter spam emails, learning-based spam email filtering …

Today, identifying and preventing spam has become a challenge, particularly with the
abundance of text-based content in emails, social media platforms, and websites. Although …

Spam emails pose a threat to individuals. The proliferation of spam emails daily has
rendered traditional machine learning and deep learning methods for screening them …

Along with the development of the world of science, it is getting faster ICT in education. The
objectives to be achieved in this study are to find out how the student's response to the …