Methodological Framework to Collect, Process, Analyze and Visualize Cyber Threat Intelligence Data

Cyber attacks have increased in frequency recent years, affecting small, medium and large companies, creating an urgent need for tools capable of helping the mitigation such threats. Thus, with increasing number cyber attacks, we a amount threat data from heterogeneous sources that needs to be ingested, processed analyzed order obtain useful insights their mitigation. This study proposes methodological framework collect, organize, filter, share visualize cyber-threat mitigate fix vulnerabilities, based on eight-step intelligence model timeline visualization threats information analytic insights. We developed tool address which security analyst can insert data, analyze them create better contextualization threat. Results show facilitation understanding context are inserted, rendering vulnerabilities more effective.