SEC-DEC: A Social Trust-Based Video-Centric Network Leveraging Secure Device-Edge-Cloud Collaborations

Abstract

Omnipresent high-resolution surveillance cameras and handy touchscreens have changed our daily interactions with the connected world permanently. As high-definition video streams are aggressively reshaping our Internet surfing experience, severe challenges (e.g., responsiveness, cybersecurity) are also confronted by legacy cellular infrastructures. How to efficiently and securely stream the explosively growing video data will remain a vital issue for future wireless communications systems. Considering the restrictive element heterogeneity, resource bottleneck, setting dynamics, and data security, SEC-DEC, a secure social trust-based video-centric network, is proposed to screen both the logical and social heterogeneity among all types of network elements, leveraging social networking analytics and machine learning to perceive and evaluate both the vertical and horizontal relationships among all nodes. It also exploits the secure device-edge-cloud collaboration in physical, social, and service domains to realize efficient but reliable video content delivery. The context awareness, trust management, and collaborative distribution provided by SEC-DEC can effectively handle the channel dynamics, link complexity, and medium heterogeneity to enhance the security performance, QoE guarantee, and throughput of wireless infrastructures for video data traffic.