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TR 33.898
Study on Security and Privacy of
Artificial Intelligence/Machine Learning (AI/ML)-based services and applications in 5G

V18.0.1 (Wzip)  2023/06  17 p.
Mr. Wong, Marcus

full Table of Contents for  TR 33.898  Word version:  18.0.1

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1  Scopep. 6

The present document will study, based on requirements as specified in clauses 6.40 and 7.10 of TS 22.261 and architecture and key issues captured in TR 23.700-80, 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.)

2  Referencesp. 6

3  Definitions of terms, symbols and abbreviationsp. 6

3.1  Termsp. 6

3.2  Symbolsp. 6

3.3  Abbreviationsp. 7

4  Key issuesp. 7

5  Solutionsp. 7

6  Conclusionsp. 13

A  Classification and protection of AI/ML data transmitted between 5GC and AFp. 14

A.1  Generalp. 14

$  Change historyp. 17

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