A Distributed Video Encryption Method Based on Spark

Abstract

A large amount of data needs to be processed in the video encryption, and how to encrypt video efficiently is becoming a big challenge. In this paper, a distributed video encryption method based on Apache Spark framework is proposed. Videos are cut into smaller video units, and video units are distributed to server node for unit encryption. Hadoop MapReduce and Spark both are popular open-source platforms for large-scale data processing. So the comparison of efficiency between Map-Reduce and Spark for encryption processing is demonstrated. The method improves the execution efficiency of video encryption significantly.