Privacy-preserving model, architecture and solution for on-the-fly anonymization of 5G data streams
Evangelos A. Kosmatos · 2020
The emerge of 5G networks impose new challenges to the legacy privacy-preserving approaches which are mainly stemming from the special requirements of the 5G services (eMBB, mMTC and URLLC). This, in combination with the “big data” concept creates a highly demanding environment for the data stream anonymization techniques which cannot be satisfied by the current models and approaches. In this paper we proposed an extended privacy-preserving model to support the special requirements of 5G services and we propose an architecture and a developed solution for supporting data streams anonymization in 5G networks following the SDN paradigm.