Banca de DEFESA: Lucas José Borges Amaro

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Lucas José Borges Amaro
DATE: 05/10/2022
TIME: 17:00
LOCAL: Teams
TITLE:

METHODOLOGICAL FRAMEWORK TO COLLECT, PROCESS, ANALYZE AND VISUALIZE CYBER THREAT INTELLIGENCE DATA

KEY WORDS:

Cyber Threat Intelligence; sharing; vulnerabilities; visualization; analytics; temporal; framework

PAGES: 57
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

Cyber attacks have increased in frequency in recent years, affecting small, medium and large companies, creating an urgent need for solutions capable of helping on the mitigation and response 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 to obtain useful insights for their mitigation. This work 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 those needs in which the cyber security analyst can insert threat data, analyze them and create a timeline to get insights and a better contextualization of a threat. Results show the facilitation of understanding the context in which the threats are inserted, making the mitigation of vulnerabilities more effective.

BANKING MEMBERS:
Externo à Instituição - Adriano Mauro Cansian
Interno - 1311780 - FABIO LUCIO LOPES DE MENDONCA
Interno - 1141309 - JOAO JOSE COSTA GONDIM
Presidente - 788.550.391-72 - ROBSON DE OLIVEIRA ALBUQUERQUE - UnB