Study on the security aspects of Artificial Intelligence (AI)/Machine Learning (ML) for the Next Generation Radio Access Network (NG-RAN)
The study aims at identifying key issues and solutions in order to address the security aspects of employing AI/ML techniques in RAN. The motivation of this study is to provide potential security handling for the procedures of the NG-RAN AI/ML framework [2]. The NG-RAN AI/ML framework includes functional entities and information flows between functions in order to realize an AI/ML architecture for data collection, model training, data inference and actions/feedback for the NG-RAN and UEs. The NG-RAN AI/ML framework is also accompanied by three RAN-related use cases.
The study aims at studying the following aspects:
- The applicability of existing security mechanisms for the NG-RAN AI/ML framework.
- Whether user privacy issues exist for the selected use cases in the related RAN group studies, not disrupting the current system designs. Use cases not selected in AI/ML for NG RAN by RAN groups are out of scope of this study. The need for alignment with the study of privacy of identifiers over radio access would also be assessed.
- Security aspects of the RAN use cases from the point of view of AI/ML robustness in the face of AI/ML adversaries in AI/ML for NG-RAN.