Introduction: DNS tunneling remains a critical network threat, exploiting the inherent trust in the DNS protocol for unauthorized communication, data exfiltration, and firewall evasion. Methods: ...
Introduction: The growing prevalence of fraud and malware, fueled by increased online activity and digital transactions, has exposed the shortcomings of conventional detection systems, particularly in ...
Abstract: The growing volume of unsolicited spam emails threatens user privacy, productivity, and digital security. This study proposes an enhanced spam detection model by integrating phrase pattern ...
This project implements an end-to-end spam detection system leveraging Apache Spark's distributed computing capabilities for scalable machine learning. The system processes text messages through a ...
The most powerful free Discord moderation tool combining advanced AI spam image detection with comprehensive moderation features in a single, self-hosted bot. Perfect for server admins who want full ...
Abstract: Detecting fraudulent job postings is a critical challenge for online recruitment platforms. This study integrates statistical analysis and natural language processing (NLP) to enhance ...
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