Partial Trust Metric for CDN Content Authorization
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Solution Overview
Problem
Current content delivery platforms face challenges in accurately identifying and authorizing content requests from unauthorized media players, leading to potential unauthorized access and misuse of content.
Innovation Solution
The implementation of a method where a content sharing platform generates a partial trust metric for client devices, which is then used by a CDN server to assess the trustworthiness of the device and authorize access to content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional content delivery platforms allow users to access content through CDN, then content accessibility and delivery speed are improved, but security against unauthorized access and misuse deteriorates
Solution Approach 1:
The patent introduces a trust metric system as an intermediary between the content delivery platform and CDN servers. This trust metric acts as a mediator that carries authorization information from the platform to the CDN, enabling the CDN to verify client device trustworthiness without compromising the fast content delivery capability. The trust metric package includes various factors (device characteristics, user behavior, account status) that the CDN can evaluate to determine whether to serve content, thus resolving the contradiction between fast delivery and security verification.
2Productivity
If CDN servers directly serve content to client devices, then content delivery efficiency is improved, but the ability to accurately identify and authorize requests from unauthorized media players deteriorates
Solution Approach 1:
The patent implements preliminary action by having the content delivery platform generate and attach a trust metric package to content requests before they reach the CDN servers. This pre-computed trust metric includes device characteristics, user behavior patterns, and account status information that would be difficult for CDN servers to obtain independently. By performing the authorization assessment in advance at the platform level, the system enables CDN servers to make accurate authorization decisions based on pre-evaluated trust information, thus resolving the contradiction between delivery efficiency and identification accuracy.
3Measurement precision
If the content sharing platform collects and evaluates detailed client device data to assess trustworthiness, then authorization accuracy is improved, but system complexity and data processing requirements worsen
Solution Approach 1:
The patent applies segmentation by dividing the trust assessment function into two separate components: the content delivery platform generates a trust metric package based on collected device data, while the CDN server independently evaluates this metric to make authorization decisions. This segmentation allows the platform to focus on data collection and metric generation without bearing the full complexity of real-time authorization decisions. The CDN server receives pre-processed trust metrics and performs the final authorization evaluation, distributing the computational complexity across both systems and reducing the burden on any single component.
Data Source
AI summary
A method includes receiving, by a processing device of a content delivery network, a first request for desired content from a client device. The first request comprises one or more resource locators for accessing the desired content and a partial trust metric generated, by a content sharing platform, in response to a second request for the desired content from the client device. A client device trust status is determined based on the partial trust metric. Responsive to the client device trust status indicating that the client device is authorized to receive the desired content, playback of the desired content is provided to the client device.