Securing Immersive 360 Video Streams through Attribute-Based Selective Encryption
Mohammad Waquas Usmani, Susmit Shannigrahi, Michael Zink

TL;DR
This paper introduces a novel attribute-based selective encryption framework for 360-degree video streaming that enhances security and efficiency by encrypting critical viewports dynamically, outperforming traditional HTTPS methods.
Contribution
It presents a new ABE-based selective encryption approach combined with viewport-adaptive encryption for secure, scalable 360 video streaming.
Findings
Reduces computational load on caches
Improves cache hit rates
Maintains visual quality comparable to HTTPS
Abstract
Delivering high-quality, secure 360{\deg} video content introduces unique challenges, primarily due to the high bitrates and interactive demands of immersive media. Traditional HTTPS-based methods, although widely used, face limitations in computational efficiency and scalability when securing these high-resolution streams. To address these issues, this paper proposes a novel framework integrating Attribute-Based Encryption (ABE) with selective encryption techniques tailored specifically for tiled 360{\deg} video streaming. Our approach employs selective encryption of frames at varying levels to reduce computational overhead while ensuring robust protection against unauthorized access. Moreover, we explore viewport-adaptive encryption, dynamically encrypting more frames within tiles occupying larger portions of the viewer's field of view. This targeted method significantly enhances…
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Advanced Steganography and Watermarking Techniques · Cryptographic Implementations and Security
