Design and creation of neural systems to strengthen the main firewalls in the market.

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The SABOTNET project “Botnet Protection System for Corporate Networks” aims to create an algorithm and design the system support to provide more intelligence to the main firewalls on the market.

This involves:

  • Creation of algorithms based on AI, heuristics and Machine learning to improve the protection of corporate networks.
  • Dimensioning and creation of system to support analysis and service different companies and their traffic intensity.
  • Selection of firewall devices/service suitable for the target companies.

«Plant and industry performance optimization with TRACEFACT: product and process traceability throughout the value chain»

All this using technologies such as:

  • Artificial intelligence: machine learning; deep learning; neural networks.
  • Massive data and information processing technologies (Open/ Linked/Big Data)
  • Databases: MySQL, Elastic
  • Programming languages: Python, Php, Java, R

SABOTNET project coordinated by Galicia Digital (DIHGIGAL) with the participation of the SMEs: HACCE and SIXTEMA.

This project is funded by the Ministry of Industry, Trade and Tourism, as well as by the European Union through the Recovery, Transformation and Resilience Plan in the framework of the #AEI2022b call.


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