# name
Generació d'intel·ligència a partir de la recopilació d'atacs informàtics

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Raúl Roca Cánovas

# metadata.dc.description.abstract[].value
[en] In this project, I have developed a system to collect, analyze, and store data on real attacks captured from different honeypots. The work has been divided into three parts: the data source (honeypots), the database, and an integration program for these two platforms.
For the data source, I have used the T-Pot tool, which allows for the collection of a large volume of data of various types. Then, I installed the MISP platform, which is a specialized database for storing all kinds of incidents and threats. MISP was also installed alongside Cortex, which is a malware analyzer that detects malicious data. Once these tools were installed, I searched for a way to integrate them and make them work together. Therefore, I developed a Python program that connects to them through their respective REST API.
The integration program has been developed following good code design practices and applying different design patterns. Additionally, I have ensured to implement it in the most secure way to handle user credentials.
The combined work of these tools provides a solid platform for detecting, analy-
zing, and responding to threats, enabling more effective management of the collected
information and the different tactics used by attackers.

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memòria: cc-nc-nd (c) Jordi Bujaldón Devesa, 2023

# metadata.dc.rights[].value
codi: Apache 2.0 (c) Jordi Bujaldón Devesa, 2023

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

# metadata.dc.title[].value
Generació d'intel·ligència a partir de la recopilació d'atacs informàtics