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This press release is about a new patent published by PAROMA-MED consortium partners Ericsson. In the patent, the approach defines advanced metrics for assessing and scoring network resources in terms of security and privacy. This innovation extends current PCE algorithms to make them privacy-aware and security-aware
EU funded project PAROMA-MED aims to develop a platform for privacy preserving, distributed and robust machine learning suited for medical applications. In doing so this platform must enable security and privacy in their platform & networks, ensuring they meet the evolving security demands of application and customers. As the networking landscape evolves, one fundamental concept that stands out is Network Slicing. This innovation allows creation of multiple, discrete virtual networks on a single physical infrastructure, each tailored to meet specific requirements while isolating, optimizing, and enhanced performance for different services and applications. By isolating network slices, each virtual network operates independently, ensuring that the performance of one slice does not impact the others. Hence results in optimized resource allocation, improved service quality, and the ability to meet diverse performance requirements for various applications ranging from enhanced mobile broadband to ultra-reliable low-latency communications.
Network slices are created and maintained using sophisticated traffic routing algorithms that determine optimal paths based on network requirements and available resources. These algorithms belong to the family of Path Computation Engines (PCE) and commonly used algorithms is Dijkstra's algorithm, which efficiently finds the shortest path in a network, thereby ensuring optimal routing of traffic.
However, the current applications of PCE predominantly focus on optimizing latency and bandwidth. There is a notable lack of consideration for security and privacy criteria within these algorithms. This gap exists because of the absence of appropriately defined metrics and methodologies for assessing and scoring network resources with respect to security and privacy. As a result, existing PCE implementations fall short in providing comprehensive protection and confidentiality in network operations.
To address this significant gap, a new patent published by PAROMA-MED consortium partners Ericsson. In the patent, the approach defines advanced metrics for assessing and scoring network resources in terms of security and privacy. This innovation extends current PCE algorithms to make them privacy-aware and security-aware. By incorporating these advanced metrics, the new algorithms can better evaluate the security and privacy implications of different routing paths, ensuring that network slices are not only efficient but also secure.
The patent outlines a framework for integrating these advanced metrics into PCE algorithms, thereby enhancing the overall robustness and trustworthiness of network slices. This development represents a crucial step forward in 5G telecommunications, as it addresses the growing need for secure and private virtual networks in an increasingly interconnected world.
Further details on this groundbreaking advancement and the specific implementation of the new metrics in PCE algorithms can be found at: https://zenodo.org/records/10943056. This exploration will provide a comprehensive understanding of how Ericsson's new patent can transform the landscape of 5G network slicing, ensuring both optimal performance and stringent security and privacy measures and support in development of a robust network.
For further details please refer to:
https://www.freepatentsonline.com/WO2024091149A1.html
TOSCANO ORAZIO
orazio.toscano@ericsson.com
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