Encrypted Network Profile Data Transmission for Secure Device Analysis
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Solution Overview
Problem
Compromised computing devices can initiate online attacks and hacking attempts, making it difficult to defend against them at the target, and existing methods for detecting suspicious activity often require dedicated servers that waste resources and raise privacy concerns by not encrypting network profile data.
Innovation Solution
Computing devices transmit encrypted network profile data piggybacked with existing traffic to a server or a network device, allowing for detection of suspicious activity and prevention of attacks without revealing user identities, thereby protecting privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated servers are used to collect and analyze network profile data, then detection capability is improved, but resource waste and system complexity increase
Solution Approach 1:
The computing device itself performs the network profile data collection and analysis functions that would otherwise require a dedicated server. The device monitors its own network connections, collects profile data, and performs security analysis locally, eliminating the need for external dedicated servers and reducing resource waste.
Solution Approach 2:
The computing device performs multiple functions including normal computing operations, network profile data collection, security analysis, and threat detection. By making the device universal and multi-functional, the patent eliminates the need for separate dedicated servers, reducing system complexity and resource consumption while maintaining detection capability.
2Measurement precision
If network profile data is transmitted without encryption, then detection accuracy is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces an intermediary encryption layer that protects user privacy during data transmission. The network profile data is encrypted before leaving the computing device, using intermediaries such as secure protocols and anonymization techniques that allow detection while preserving privacy.
Solution Approach 2:
The patent applies different quality treatments to different parts of the data transmission process. Sensitive personal information is encrypted and anonymized, while technical network profile data necessary for detection remains intact. This local quality approach allows detection accuracy to be maintained for technical parameters while protecting user privacy for personal information.
3Reliability
If network profile data is collected continuously, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the patent implements periodic sampling of network profile data. The system collects and analyzes network data at regular intervals rather than continuously, which maintains detection reliability by capturing sufficient data points while significantly reducing energy consumption associated with constant monitoring.
Solution Approach 2:
The patent applies partial monitoring by selecting specific network connections and data points for analysis rather than monitoring everything continuously. This partial action approach maintains sufficient detection reliability by focusing on critical data while reducing overall energy consumption.
Data Source
AI summary
A device may generate network profile data indicating a set of network parameters detected by the device. The device may encrypt the network profile data and may transmit the encrypted network profile data to a network device, such as a router, or a server. The router or server may analyze the encrypted network profile data to determine if the device is secure. The router of server may perform one or more security measures if the device is not secure.