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



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Borges Amaro, Lucas José and Percilio Azevedo, Bruce William and Lopes de Mendonca, Fabio Lucio and Ferreira Giozza, William and Oliveira Albuquerque, Robson de and García Villalba, Luis Javier (2022) Methodological Framework to Collect, Process, Analyze and Visualize Cyber Threat Intelligence Data. Applied Sciences, 12 (3). p. 1205. ISSN 2076-3417

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

Item Type:Article
Uncontrolled Keywords:analytics; cyber threat intelligence; framework; sharing; visualization; vulnerabilities
Subjects:Sciences > Computer science > Databases
Sciences > Computer science > Computer security
ID Code:74844
Deposited On:03 Oct 2022 10:49
Last Modified:03 Oct 2022 13:55

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