NORIA: Network anomaly detection using knowledge graphs
• The supervision of network infrastructures is a major challenge for a telecommunications operator of the scale of Orange. Historically, Orange has always conducted cutting-edge research to offer innovative solutions in this highly complex area, continually seeking to improve the reliability, efficiency and security of its networks.
• The NORIA project is part of this ongoing quest for innovation, combining artificial intelligence technologies such as the Semantic Web and deep learning to offer a more intelligent, reactive and predictive vision of network management.
• NORIA is a multi-domain incident correlation approach that reduces the cognitive load of network infrastructure administrators. It produces indicators that facilitate incident resolution.
• Knowledge graphs help to acquire an overview of large-scale network infrastructures made up of heterogeneous resources and services generating data (alarms, technical logs, etc.) in rich and varied formats.
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• The NORIA project is part of this ongoing quest for innovation, combining artificial intelligence technologies such as the Semantic Web and deep learning to offer a more intelligent, reactive and predictive vision of network management.
• NORIA is a multi-domain incident correlation approach that reduces the cognitive load of network infrastructure administrators. It produces indicators that facilitate incident resolution.
• Knowledge graphs help to acquire an overview of large-scale network infrastructures made up of heterogeneous resources and services generating data (alarms, technical logs, etc.) in rich and varied formats.
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