Abstract
With the advancement of cloud computing and fog computing, more and more services and data are being moved from local servers to the fog and cloud for processing and storage. Videos are an important part of this movement. However, security issues involved in video moving have drawn wide attention. Although many video-encryption algorithms have been developed to protect local videos, these algorithms fail to solve the new problems faced on the media cloud, such as how to provide a video encryption service to devices with low computing power, how to meet the different encryption requirements for different type of videos, and how to ensure massive video encryption efficiency. To solve these three problems, we propose a cloud-fog-local video encryption framework which consists of a three-layer service model and corresponding key management strategies, a fine-grain video encryption algorithm based on the network abstract layer unit (NALU), and a massive video encryption framework based on Spark. The experiment proves that our proposed solution can meet the different encryption requirements for public videos and private videos. Moreover, in the experiment environment, our encryption algorithm for public videos reaches a speed of 1708 Mbps, and can provide a real-time encryption service for at least 42 channels of 4K-resolution videos.
Highlights
The sensor cloud system, having gained momentum in the recent years, is identified as an inevitable choice for many problems in the big data age
A massive video encryption framework based on Spark ensures the efficiency
In theThe case of private videos, it is hard to definealgorithm the term of videos should the unrecognizable security of the proposed encryption is needs toand reach the information hidden level;ofhowever, in the case ofshould privatebevideos, it is hard to define the term of privacy valid the original pictures minimized, so encryption of private analyzed from two aspects: encryption quality and anti-attack capability
Summary
The sensor cloud system, having gained momentum in the recent years, is identified as an inevitable choice for many problems in the big data age. How to provide uniform video encryption service for devices with different computing power. We propose a cloud-fog-local video encryption service framework to provide a uniform video encryption service for devices with different computing power. In this framework, the key management is deployed on the cloud layer to produce, store, distribute and destroy keys. The framework can provide a uniform video encryption service for devices with different computing power. This paper is the first that designs a uniform video encryption algorithm to meet the different encryption requirements for public and private videos, and makes in-depth analysis of the encryption effect.
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