Open AccessMulti-level storage based auditing scheme for 5G and beyond defined edge computing
Author(s) -
Chen Wang,
Tianqi Zhou
Publication year - 2022
Publication title -
journal of surveillance, security and safety
Language(s) - English
Resource type - Journals
ISSN - 2694-1015
DOI - 10.20517/jsss.2021.18
Subject(s) - computer science , edge computing , software portability , scheme (mathematics) , enhanced data rates for gsm evolution , overhead (engineering) , server , audit , distributed computing , edge device , database , cloud computing , computer network , operating system , telecommunications , mathematical analysis , mathematics , management , economics
Aim: Edge computing has become one of the most essential approaches for processing user-side data in the future, thanks to the portability of storage and computing devices. 5G and beyond defined edge computing has become one of the most urgently required technologies. However, there are still several issues that must be resolved. Edge computing's present storage structure is incapable of adapting to new and flexible application scenarios. Simultaneously, data stored on edge devices are more vulnerable to attacks, and the integrity of the data needs to be protected. Method: For 5G and beyond defined edge computing, a novel auditing scheme based on multi-level storage is proposed in this paper. To reduce the response time of data queries, we first present a storage system with neighborhood servers. Then, a scheme for third-party-assisted auditing is described. Users can audit their data using self-defined file names. Results: The scheme is secure and efficient, according to the security analysis and performance simulation. Our scheme cost less computation overhead than the compared related work. Conclusion: The result shows that the novel proposal is efficient for the application in 5G and beyond defined edge computing.