Service Terminal Risk Control Models for Security Verification
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Solution Overview
Problem
Conventional methods for verifying the security of service operations are inaccurate due to limited analysis of user network behavior patterns, relying mainly on historical data, which fails to account for dynamic user habits and social relationships.
Innovation Solution
A method and device that utilize pre-stored risk control models on service terminals to analyze creditability of service operations, incorporating user data such as social, interest, and habit patterns to enhance security verification, with creditability analysis results being sent to service servers for determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods use only historical service data and browsing data for security verification, then the verification process is simple, but the accuracy of security verification is low
Solution Approach 1:
The patent segments the risk control system into two parts: the service server stores and manages multiple types of user data (service data, browsing data, social data), while the service terminal runs risk control models to perform local analysis. This segmentation allows comprehensive data utilization without overcomplicating the verification process at any single point.
Solution Approach 2:
The patent adds a new dimension to security verification by incorporating social relationship data and interest data alongside traditional historical service data and browsing data. This multi-dimensional approach enables more accurate creditability analysis by evaluating user behavior from multiple perspectives simultaneously.
2Measurement precision
If the service terminal performs local creditability analysis using pre-stored risk control models, then the accuracy of security verification is improved, but the computational burden on the terminal increases
Solution Approach 1:
The risk control models are pre-stored in the service terminal before actual verification occurs. This preliminary preparation allows the terminal to perform efficient local analysis without requiring complex real-time computations, reducing energy consumption during the verification process while maintaining high accuracy.
3Reliability
If comprehensive user data including social and interest data is collected for analysis, then the reliability of security verification is improved, but the amount of data to be processed increases
Solution Approach 1:
The service terminal acts as an intermediary between the service server and the risk control models. It receives analysis instructions from the server, performs local creditability analysis using pre-stored models, and sends only the analysis results back to the server. This intermediary role enables comprehensive data utilization without requiring the server to process all raw data, effectively managing data volume while improving reliability.
Data Source
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AI summary
A method for verifying a security of a service operation is provided. The method includes receiving, by a service terminal, a creditability analysis instruction of the service operation, where the creditability analysis instruction is sent by a service server. The method may further include obtaining, by the service terminal, a creditability analysis result of the service operation based on the creditability analysis instruction and one or more risk control models pre-stored in the service terminal, and sending the creditability analysis result to the service server for determining the security of the service operation.