Attack graph-based security assessment method and tool design for MC equipment in the 5G-R core network
As the core of railway intelligent dispatching communication service realization, MC equipment can analyze, process, and forward signaling and media streams of voice, video, data, and other related services, and MC service assumes an important role in guaranteeing the safe and efficient operation of railway transportation. Therefore, studying the vulnerability of MC equipment in the 5G-R core network and constructing a corresponding security assessment method for MC equipment is an important part of improving the system of 5G-R cyber security protection measures, analyzing the cyber security status, and guaranteeing the safe operation of railways. In this paper, we first study the possible attack paths of MC equipment in the 5G-R core network, and based on this, we construct a security assessment methodology system of MC equipment based on the attack graph and then realize a visual MC equipment security assessment tool with the main functions of flexibly constructing the attack graph, interactively evaluating the indexes, and automatically calculating the assessment results and outputting them. The security assessment methodology proposed in this paper can provide program guidance for the subsequent research on MC equipment security in 5G-R core networks.
Authors
- Wei Wang (ORCID: https://orcid.org/0009-0008-0896-0723)
- Ming Dong (ORCID: https://orcid.org/0000-0002-1046-2140)
- Jianwen Ding (ORCID: https://orcid.org/0000-0003-3526-3380)
- Bin Sun (ORCID: https://orcid.org/0000-0002-6090-2706)
- C.Y. Dong
- X Hang
Institutions
- Beijing Jiaotong University (CN)
- ZTE (China) (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icct62411.2024.10946592
- Primary Topic
- Telecommunications and Broadcasting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Railway
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities