Netchain: A Blockchain-Enabled Privacy-Preserving Multi-Domain Network Slice Orchestration Architecture
Abstract
Multi-domain networking slice orchestration is an essential technology for the programmable and cloud-native 5G network. However, existing research solutions are either based on the impractical assumption that operators will reveal all the private network information or time-consuming secure multi-party computation which is only applicable to limited computation scenarios. To provide agile and privacy-preserving end-to-end network slice orchestration services, this paper proposes NetChain, a multi-domain network slice orchestration architecture based on blockchain and trusted execution environment. Correspondingly, we design a novel consensus algorithm CoNet to ensure the strong security, scalability, and information consistency of NetChain. In addition, a bilateral evaluation mechanism based on game theory is proposed to guarantee fairness and Quality of Experience by suppressing the malicious behaviors during multi-domain network slice orchestration. Finally, the prototype of NetChain is implemented and evaluated on the Microsoft Azure Cloud with confidential computing. Experiment results show that NetChain has good performance and security under the premise of privacy-preserving.
Recommended Citation
G. He et al., "Netchain: A Blockchain-Enabled Privacy-Preserving Multi-Domain Network Slice Orchestration Architecture," IEEE Transactions on Network and Service Management, Institute of Electrical and Electronics Engineers (IEEE), Sep 2021.
The definitive version is available at https://doi.org/10.1109/TNSM.2021.3110057
Department(s)
Computer Science
Publication Status
Early Access
Keywords and Phrases
Blockchain; Blockchains; Computer Architecture; Consensus Algorithm; Faces; Multi-Domain Network Slicing; Privacy; Privacy-Preserving; Scalability; Security; TEE.
International Standard Serial Number (ISSN)
1932-4537
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
03 Sep 2021
Comments
This work was supported by the National Key Research and Development Program of China (No. 2019YFBI802503), and the project National Nature Science Foundation of China (No. 61972026). The work of S. K. Das is partially supported by the US National Science Foundation (NSF) grants under award numbers SATC-2030624 and CNS-1818942.