Secure and Efficient Large Content Broadcasting in Mobile Social Networks

• Main Authors: Tingting Fu, Peng Liu, Yue Ding, Yuan Zhang
• Format: Article
• Language: English
• Published: IEEE 2018-01-01
• Series: IEEE Access
• Subjects: Mobile computing; social network services; large content; broadcasting; secret sharing
• Online Access: https://ieeexplore.ieee.org/document/8417406/

Most of existing mobile social systems are built on the presence of communication infrastructures and thereby rely on the reliability of the underlying communication infrastructures. As a consequence, if the infrastructures are inaccessible to users, the data generated by users in these systems cannot be transmitted. Furthermore, existing mobile social systems bear a strong assumption that a data owner can determine the destinations before she/he transmits the data. This is not practical when the underlying communication infrastructures are compromised. This problem is further exacerbated by the fact that there are adversaries in the systems, where adversaries may attempt to extract the content of transmitted data and stop the data transmission. As such, the functionality and security of these systems cannot be guaranteed. In this paper, we propose a secure and efficient data broadcasting scheme for mobile social networks that enable data owners to broadcast large-size data in a store-and-forward way, which does not require reliable communication infrastructures. Even if the data owner cannot pre-determine the all destinations, the data owner can transmit the data to all destinations as soon as possible with the aid of data receivers. Our scheme ensures that the data transmission cannot be stopped by adversaries, and the honest user would extract the data no later than adversaries. In our scheme, if the adversary attempts to learn the data content, he has to assist the data owner in transmitting the data. We provide the security analysis to demonstrate the security of our scheme. We also implement our scheme and conduct a comprehensive performance analysis, which proves that our scheme is effective and efficient.