Trust-Based Video Management Framework for Social Multimedia Networks

Abstract

Social Multimedia Networks (SMNs) have attracted much attention from both academia and industry due to their impact on our daily lives. The requirements of SMN users are increasing along with time, which make the satisfaction of those requirements a very challenging process. One important challenge facing SMNs consists of their internal users that can upload and manipulate insecure, untrusted and unauthorized contents. For this purpose, controlling and verifying content delivered to end-users is becoming a highly challenging process. So far, many researchers have investigated the possibilities of implementing a trustworthy SMN. In this vein, the aim of this paper is to propose a framework that allows collaboration between humans and machines to ensure secure delivery of trusted videos content over SMNs while ensuring an optimal deployment cost in the form of CPU, RAM, and storage. The key concepts beneath the proposed framework consist in i) assigning to each user a level of trust based on his/her history, ii) creating an intelligent agent that decides which content can be automatically published on the network and which content should be reviewed or rejected, and iii) checking the videos' integrity and delivery during the streaming process. Accordingly, we ensure that the trust level of the SMNs increases. Simultaneously, efficient Capital Expenditure (CAPEX) and Operational Expenditures (OPEX) can be achieved. Index Terms-Social multimedia network, video streaming, trust model, and trust management. • Secure storage: this component mainly works as follows: first of all, an authorized user sends an upload request

Toward fine‐grained access control and privacy protection for video sharing in media convergence environment

“…Zhang et al 11,12 proposed an efficient and reliable approach that preserves the privacy of sensitive data in the shared media content. Mada et al 13 proposed a mobile cloud platform for managing social interactions and sharing different content, providing a flexible and low-cost solution to enable each user to establish a secure connection with others. Megías and Qureshi 14 proposed a scheme that supports point-to-point (P2P) communication between users and the central authority to facilitate multimedia sharing in a media convergence environment.…”

A Novel Video-Spreading Strategy Based on the Joint Estimation of Social Influence and Sharing Capacity in Wireless Networks

“…Further, the single shared channels and rigid distribution mechanisms of the traditional spreading mode only passively handle various video requests, which results in the coexistence of redundant copies of unpopular videos and a scarce supply of popular videos. The integration of video sharing and social networks opens a new channel for video-spreading [15]. Nodes in social networks not only employ the broadened spread channels (active request and passive receive push) to share videos, but also depend on interest similarity and social relationships to efficiently share videos, which enriches the video-sharing processes and expands the video-sharing user scale.…”

Multi-clue reconstruction of sharing chains for social media images

“…The process of uploading to web platforms represents nowadays a key phase in the life of a digital object, and the dynamics of shared visual content can be analyzed for different purposes [8], [9]. While this sharing process typically hinders the ability to perform conventional media forensics tasks, it also introduces new traces itself, allowing to infer additional information.…”