Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-2006
Abstract
Edge computing pushes application logic and the underlying data to the edge of the network, with the aim of improving availability and scalability. As the edge servers are not necessarily secure, there must be provisions for users to validate the results—that values in the result tuples are not tampered with, that no qualifying data are left out, that no spurious tuples are introduced, and that a query result is not actually the output from a different query. This paper aims to address the challenges of ensuring data integrity in edge computing. We study three schemes that enable users to check the correctness of query results produced by the edge servers. Two of the schemes are our original contributions, while the third is an adaptation of existing work. Our study shows that each scheme offers different security features, and imposes different demands on the edge servers, user machines, and interconnecting network. In other words, all three schemes are useful for different application requirements and resource configurations.
Keywords
Data integrity, Edge computing, Data dissemination, Replication
Discipline
Databases and Information Systems | Information Security | Systems Architecture
Publication
Data and Knowledge Engineering
Volume
58
Issue
3
First Page
381
Last Page
409
ISSN
0169-023X
Identifier
10.1016/j.datak.2005.05.003
Publisher
Elsevier
Citation
GOH, Shen-Tat; PANG, Hwee Hwa; DENG, Robert H.; and BAO, Feng.
Three Architectures for Trusted Data Dissemination in Edge Computing. (2006). Data and Knowledge Engineering. 58, (3), 381-409.
Available at: https://ink.library.smu.edu.sg/sis_research/1202
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1016/j.datak.2005.05.003
Included in
Databases and Information Systems Commons, Information Security Commons, Systems Architecture Commons