Lucas José Borges Amaro
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Lucas José Borges Amaro has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Bruce William Percilio Azevedo
Professional Post-Graduate Program in Electrical Engineering, Department of Electrical Engineering, University of Brasília, Brasília 70910-900, Brazil
1 shared publication - Fábio Lúcio Lopes de Mendonça
University of Brasilia
1 shared publication - Luis Javier García Villalba
Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Complutense University of Madrid (UCM), 28040 Madrid, Spain
1 shared publication - Robson de Oliveira Albuquerque
University of Brasilia (UnB)
1 shared publication - William Ferreira Giozza
University of Brasília, College of Technology, Department of Electrical Engineering, Brasília, Brazil
1 shared publication
Latest Publications
- 20 September 2026
- Published by Linhas Críticas
Methodological framework to collect, process, analyze and visualize cyber threat intelligence data
- 20 September 2026
- Published by Linhas Críticas
Methodological framework to collect, process, analyze and visualize cyber threat intelligence data
- Open Access
- 24 January 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (3) , 1205
Methodological Framework to Collect, Process, Analyze and Visualize Cyber Threat Intelligence Data
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.
- 24 January 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (3) , 1205
Open AccessMethodological Framework to Collect, Process, Analyze and Visualize Cyber Threat Intelligence Data
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.