Study on security and privacy of Artificial Intelligence/Machine Learning (AI/ML)-based services and applications in 5G
The present document will study, based on requirements as specified in clauses 6.40 and 7.10 of TS 22.261 [2] and architecture and key issues captured in TR 23.700-80 [3], 5GS assistance to support Artificial Intelligence (AI) / Machine Learning (ML) model distribution, transfer, training for various applications, e.g. video/speech recognition, robot control, automotive, etc.
The scope of this study is on how to provide security and privacy to the AI/ML-based service and applications in 5G based on the following objectives of identifying key issues, potential threats, requirements, and solutions to enable:
1. 5G system assistance for the security management which requires data transmission support for application layer AI/ML operation over the 5G system.
2. The authentication and authorization involving data collection and sharing among UE, AF and the network to take part in application layer AI/ML operation, i.e., UE and network privacy protections to support application AI/ML services over 5G system.
3. UE and 5G system to secure AI/ML based services and operations.
4. Secure provisioning of the external parameter required for AI/ML (e.g., expected UE activity behaviors, expected UE mobility, etc.)