Attribute-based multi-dimension scalable access control for social media sharing

Abstract

Social media sharing is one of the most popular social interactions in online social networks (OSNs). Due to the diverse networking conditions and various privacy requirements of OSN users, scalable media sharing has become a promising paradigm. It allows a media data distributor to share a media content of different qualities with different data consumers. To guarantee user privacy in scalable media sharing, it is essential to design an effective scalable media access control (SMAC) mechanism. However, all existing schemes cannot support scalable media streams with more than two dimensions, which significantly limits the flexibility of OSN services. In this paper, we present the first multi-dimension SMAC (MD-SMAC) system for social media sharing, based on the proposed scalable ciphertext policy attribute-based encryption (SCP-ABE) algorithm. In the MD-SMAC system, secure and reliable access control can be performed on multidimension scalable media streams according to data consumers' attributes. Through the security analysis, we prove the security and reliability of the MD-SMAC system. We also conduct experiments on mobile devices to demonstrate the computation efficiency of the proposed system.