A Novel Architecture for Automatic Document Classification for Effective Security in Edge Computing Environments

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.