Title | ||
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A Novel Architecture for Automatic Document Classification for Effective Security in Edge Computing Environments |
Abstract | ||
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Existing automatic document classification architectures are underpinned by the transfer of raw document data streams to the cloud computing environment for processing and analysis. This operation is expensive, has limitation to meet the real-time processing needs, and exposes potential security and privacy risks at the data transfer process. In this paper, we present a novel architecture for document classification with enhanced security that incorporates mechanism to facilitate the processing and analysis of raw data streams near the source of the data. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/SEC.2018.00056 | 2018 IEEE/ACM Symposium on Edge Computing (SEC) |
Keywords | Field | DocType |
Edge Computing, Big Data, Confidentiality, Security, Machine Learning | Edge computing,Document classification,Data stream mining,Architecture,Data transmission,Computer science,Computer security,Raw data,Big data,Database,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-9446-6 | 1 | 0.35 |
References | Authors | |
14 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lei Ding | 1 | 142 | 26.77 |
Malek Ben Salem | 2 | 185 | 16.19 |