A Framework to Data Delivery Security for Big Data Annotation Delivery System

Abstract

Big data annotation plays an important role in Artificial Intelligence model training. The proliferation of data annotation tasks has brought the issue of security of the big data delivery. This work identifies the security framework associated with encryption and compression procedures that support data delivery safety. In this paper, we propose an agile framework that caters to various types of data under RESTful web services. All the procedures are automatically operated by the server without human intervention. This work assists the company delivers the tagged data products to users with a high-security level avoiding the risk of information disclosure.