360NorVic: 360-Degree Video Classification from Mobile Encrypted Video Traffic

Understand

Streaming 360{\deg} video demands high bandwidth and low latency, and poses significant challenges to Internet Service Providers (ISPs) and Mobile Network Operators (MNOs).

• The identification of 360{\deg} video traffic can therefore benefits fixed and mobile carriers to optimize their network and provide better Quality of Experience (QoE) to the user.
• However, end-to-end encryption of network traffic has obstructed identifying those 360{\deg} videos from regular videos.
• As a solution this paper presents 360NorVic, a near-realtime and offline Machine Learning (ML) classification engine to distinguish 360{\deg} videos from regular videos when streamed from mobile devices.