In today’s era, as the complexity and scope of cyber threats continue to grow, traditional methods of threat detection through cyber intelligence operations often fail to ensure the effectiveness of real-time operations. This study proposes an intelligent threat detection model based on the integration of IoC metrics, log file monitoring, and Dark Web analysis data to improve cyber intelligence operations. The model includes three main stages, namely 1) data integration, 2) threat analysis and real-time visualization, and 3) automatic alerting.
| Mualliflar | Tojimatov, Dostonbek |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2024-12-26 |
| Son | 4 |
| Betlar | 163-167 |
| Til | Rus |
киберугроза, IoC, индикаторы компрометации, log мониторинг, анализ Dark Web, машинное обучение, режим реального времени, модель, cyber threat, IoC (Indicators of Compromise), log monitoring, Dark Web analysis, Machine learning, Real-time, model., kibertahdid, IoC (Indicators of Compromise), log monitoring, Dark Web tahlili, Mashinali o‘qitish, Real vaqt rejimi, model.
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