2026-06-07T16:52:07Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/720822023-08-26T08:06:04Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Borges Amaro, Lucas José author Percilio Azevedo, Bruce William author Lopes de Mendonca, Fabio Lucio author Ferreira Giozza, William author Oliveira Albuquerque, Robson de author García Villalba, Luis Javier 2023-06-22T11:04:50Z 2023-06-22T11:04:50Z 2022-01-24 2076-3417 10.3390/app12031205 https://hdl.handle.net/20.500.14352/72082 https://doi.org/10.3390/app12031205 https://www.mdpi.com/2076-3417/12/3/1205/htm 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. eng Atribución 3.0 España Methodological Framework to Collect, Process, Analyze and Visualize Cyber Threat Intelligence Data journal article URL https://docta.ucm.es/bitstreams/f5e987e0-4d95-4bba-9a12-97838fde20ad/download File MD5 12283fd58442c9a3dacb3c6fc4138a30 1570161 application/pdf applsci-12-01205.pdf