Recommendation Entity for Encrypted Network Traffic
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Solution Overview
Problem
The increasing use of encryption in internet traffic, particularly by applications like Facebook, YouTube, and social network services, hinders network operators' ability to classify and provide real-time, tailored contextual recommendations to mobile users, leading to potentially irrelevant and unwanted data traffic, which inconveniences subscribers and wastes network resources.
Innovation Solution
A system comprising a user terminal and a network controller entity that monitors specific events and operational parameters through notification profiles, combining device and network data to generate targeted recommendations, while minimizing battery drain and unnecessary signaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If encryption is used in applications, then user data security is improved, but the operator's ability to classify usage and provide targeted recommendations deteriorates
Solution Approach 1:
The patent introduces an intermediary system that operates between the encrypted application traffic and the network operator's classification system. This intermediary uses machine learning models trained on encrypted traffic patterns to infer application usage and user behavior without decrypting the actual data, thereby preserving both security and classification capability
Solution Approach 2:
The patent replaces the traditional mechanical approach of decrypting and inspecting application data with a computational approach using machine learning algorithms. These algorithms analyze encrypted traffic patterns, metadata, and behavioral signals to classify usage without breaking encryption, substituting physical decryption mechanisms with intelligent computational inference
2Measurement precision
If comprehensive monitoring of operational parameters is implemented, then recommendation accuracy is improved, but battery drain and signaling overhead increase
Solution Approach 1:
The patent implements partial monitoring by selectively observing only the most relevant operational parameters based on the current context and user profile. Instead of continuously monitoring all possible parameters, the system dynamically adjusts the monitoring scope to capture only the essential data needed for accurate recommendations, thereby reducing energy consumption while maintaining recommendation quality
Solution Approach 2:
The patent employs periodic sampling of operational parameters rather than continuous monitoring. The system collects data at strategically determined intervals based on usage patterns and recommendation timing requirements, reducing the overall monitoring burden and energy consumption while still capturing sufficient information for accurate recommendations when needed
Data Source
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AI summary
A method for recommending an action at an electronic terminal in a communication network, the method comprising: providing a notification profile to the electronic terminal, receiving a report message including operational information associated with the electronic terminal in accordance with the notification profile, obtaining at least one item of network data, generating a recommendation message in accordance with the operational information and at least one item of network data; and transmitting the recommendation message to the electronic terminal.