Loading...
Extensão de OSINT Para Analise e Procura de Dados
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 2.35 MB | Adobe PDF |
Advisor(s)
Abstract(s)
A digitalização e a ubiquidade da informação na sociedade atual intensificaram a necessidade
de segurança da informação e proteção da privacidade. A Open Source Intelligence
(OSINT) destaca-se como uma ferramenta essencial para a recolha e análise
de dados públicos, contribuindo para a tomada de decisões em áreas como a cibersegurança,
a investigação criminal e o jornalismo. Contudo, o aumento exponencial de
dados disponíveis impõe desafios que exigem soluções mais avançadas. Neste contexto,
os Large Language Model (LLM) surgem como recursos inovadores, capazes de
automatizar e otimizar a análise de informação através do processamento de linguagem
natural.
Este documento explora a integração entre OSINT e LLM, apresentando uma investigação
detalhada sobre as suas aplicações e limitações na área da cibersegurança.
Como contributo prático, é desenvolvido um projeto que combina ambas as abordagens,
materializado na criação de uma extensão de navegador integrada com um backend
funcional e com suporte a ferramentas OSINT. Este projeto demonstra o potencial
desta conjugação para fortalecer a segurança digital e promover uma análise mais eficiente,
automatizada e precisa de dados provenientes de fontes abertas.
The digitalization and ubiquity of information in today’s society have intensified the need for information security and privacy protection. Open Source Intelligence (OSINT) stands out as a key tool for collecting and analyzing publicly available data, supporting decision-making in fields such as cybersecurity, criminal investigations, and investigative journalism. However, the exponential growth of online data presents new challenges that demand more advanced solutions. In this context, Large Language Model (LLM) emerge as innovative resources capable of automating and optimizing information analysis through natural language processing. This document explores the integration of OSINT and LLM, offering a detailed investigation into their applications and limitations within the cybersecurity domain. As a practical contribution, a project is developed that combines both approaches, culminating in the creation of a browser extension integrated with a functional backend and multiple OSINT tools. This work demonstrates the potential of combining OSINT and LLM to strengthen digital security and enable more efficient, automated, and accurate analysis of open-source data.
The digitalization and ubiquity of information in today’s society have intensified the need for information security and privacy protection. Open Source Intelligence (OSINT) stands out as a key tool for collecting and analyzing publicly available data, supporting decision-making in fields such as cybersecurity, criminal investigations, and investigative journalism. However, the exponential growth of online data presents new challenges that demand more advanced solutions. In this context, Large Language Model (LLM) emerge as innovative resources capable of automating and optimizing information analysis through natural language processing. This document explores the integration of OSINT and LLM, offering a detailed investigation into their applications and limitations within the cybersecurity domain. As a practical contribution, a project is developed that combines both approaches, culminating in the creation of a browser extension integrated with a functional backend and multiple OSINT tools. This work demonstrates the potential of combining OSINT and LLM to strengthen digital security and enable more efficient, automated, and accurate analysis of open-source data.
Description
Keywords
Cibersegurança Extensões LLM