A Cyber Threat Detection Model Based on the Intellectual Integration of IoC, Log and Dark Web Monitoring Data in Cyber Intelligence Operations

2025/01/07 by Ganiyev, Adukhalil, Tojimatov, Dostonbek

paper · doi:10.34920/icdgpdt.59

Abstract

In today`s era, as the complexity and scale of cyber threats continue to grow, traditional threat detection methods are often insufficient to ensure efficiency in real-time operations. This study proposes a threat detection model that integrates IoC (Indicators of Compromise), log files, and Dark Web data to enhance cyber intelligence operations. The model includes three main stages: data integration, threat analysis, and ensuring real-time visualization and alerting.

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