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cyber-resilience-system

This system aims to detect, and take appropriate actions upon cyber attacks.

The system is also able to evaluate impact of an attack on IS, with a network map.

The system is composed of :

  • Network traffic probes on each node of the information system to measure inbound and oubound traffic.

  • A timeline database to store the traffic of each node.

  • Then a graph processing to compare network traffic schemes among different periods.

    • The main idea of the process if to integrate network traffic map in a graph across different timeframes,
    • The whole point is to determine relevant timeframes and threasholds for uncommon event detection
  • AI can also process those graphs to detect delta and uncommon traffic during periods.

    • Graph representing net traffic across different periods are processed by an NN with convolution of graph (and not graphs embedding as usually processed)
  • Conclusion: net data is processed first by integrating it on different timeframes and then threashold detection is enhanced by graph AI analysis, this is an iterative process.

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