Content for TR 33.784 Word version: 19.0.0
1 Scope p. 8
The present document studies the security aspects of enablers for network automation for the 5G system based on the outcome of TR 38.843 and TR 23.700-84. More specifically, this document identifies security issues and requirements and provides corresponding security solutions related to the following scenarios:
- Security aspects on enhancements to LCS to support AI/ML based Positioning considering the conclusions in TR 38.843 and TR 23.700-84.
- Security aspects of cross-domain (i.e. 5G Core and AF) Vertical Federated Learning, including authorization of members of the VFL group and security aspects of enhancements on the architecture in TR 23.700-84 to support VFL.
2 References p. 8
The following documents contain provisions which, through reference in this text, constitute provisions of the present document.
- References are either specific (identified by date of publication, edition number, version number, etc.) or non-specific.
- For a specific reference, subsequent revisions do not apply.
- For a non-specific reference, the latest version applies. In the case of a reference to a 3GPP document (including a GSM document), a non-specific reference implicitly refers to the latest version of that document in the same Release as the present document.
[1]
TR 21.905: "Vocabulary for 3GPP Specifications".
[2]
TR 38.843: "Study on Artificial Intelligence (AI)/Machine Learning (ML) for NR air interface".
[3]
TR 23.700-84: "Study on Core Network Enhanced Support for Artificial Intelligence (AI)/Machine Learning (ML)".
[4]
TR 33.738: "Study on security aspects of enablers for Network Automation for 5G".
[5]
TS 33.501: "Security architecture and procedures for 5G system".
[6]
"IEEE Guide for Architectural Framework and Application of Federated Machine Learning," in IEEE Std 3652.1-2020.3.
[7]
TS 23.288: "Architecture enhancements for 5G System (5GS) to support network data analytics services".
[8]
TS 29.510: "Network Function Repository Services".
[9]
TS 23.501: "System architecture for the 5G System (5GS)".
[10]
TS 33.210: "Network Domain Security (NDS); IP network layer security"
3 Definitions of terms, symbols and abbreviations p. 8
3.1 Terms p. 8
For the purposes of the present document, the terms given in TR 21.905 and the following apply. A term defined in the present document takes precedence over the definition of the same term, if any, in TR 21.905.
3.2 Symbols p. 9
Void
3.3 Abbreviations p. 9
For the purposes of the present document, the abbreviations given in TR 21.905 and the following apply. An abbreviation defined in the present document takes precedence over the definition of the same abbreviation, if any, in TR 21.905.
AI
Artificial Intelligence
LCS
Location Service
ML
Machine Learning
VFL
Vertical Federated Learning
4 Overview p. 9
TR 23.700-84 defines core network enhanced support for Artificial Intelligence (AI)/Machine Learning (ML), all the architecture assumptions defined in TR 23.700-84 are also applicable to the present document, and any security impact is documented in the present document.
