As digital media consumption shifts toward large-scale Over-the-Top (OTT) platforms, the efficiency of the control plane, specifically entitlement and identity verification, has become a critical factor in user experience. Current architectures often rely on synchronous cloud-tethered validation flows that introduce significant latency, especially on resource-constrained consumer electronics. This paper proposes a Hybrid Edge-Cloud Entitlement Framework designed to minimize user-perceived friction. By implementing a secure, local caching layer within device middleware and utilizing an Adaptive Entitlement Cache with Proactive Refresh (AEC-PR) algorithm, we decouple the user interaction from backend network variability. We evaluate the performance on ARM Cortex-A series hardware, demonstrating that localized cryptographic verification reduces authorization latency from a mean of 422.8ms to 18.4ms (a 95.6% reduction) while mitigating implementation-level side-channel risks through deterministic Ed25519 arithmetic and TEE isolation.

翻译：随着数字媒体消费向大规模OTT(Over-the-Top)平台迁移,控制平面(特别是权限与身份验证)的效率已成为影响用户体验的关键因素。当前架构通常依赖同步的云端验证流程,这在资源受限的消费类电子设备上会引入显著延迟。本文提出一种混合边缘-云权限框架,旨在最小化用户感知的摩擦。通过在设备中间件中实现安全的本地缓存层,并利用自适应权限缓存与主动刷新(AEC-PR)算法,我们将用户交互与后端网络变化解耦。我们在ARM Cortex-A系列硬件上评估性能,结果表明,本地化密码学验证可将授权延迟从平均422.8毫秒降至18.4毫秒(降低95.6%),同时通过确定性Ed25519算术与TEE隔离缓解了实现层面的侧信道风险。