Mobile Terminal False Data Identification via Posture Analysis
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Solution Overview
Problem
Conventional methods for identifying false data on electronic business platforms are inadequate as they primarily focus on data from PC machines and fail to effectively detect false data sent from mobile terminals, which can compromise transaction integrity.
Innovation Solution
A data processing method and apparatus that analyzes posture parameters, sending time, and location identifiers of mobile terminals to determine if the data satisfies preset conditions, such as minimal posture variation and proximity to historical false terminals, to identify and block false data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional false data identification methods are used, then false data from PC machines can be detected, but false data from mobile terminals cannot be effectively identified
Solution Approach 1:
The patent changes the detection parameters from PC-centric metrics to mobile terminal-specific parameters including posture parameters (acceleration, gravity, magnetic field), location information, and device movement characteristics. This enables the system to adapt to mobile terminal data transmission patterns while maintaining detection accuracy.
Solution Approach 2:
The patent creates a universal false data identification system that can handle both PC and mobile terminal data sources. By incorporating device-type-agnostic detection mechanisms alongside mobile-specific parameter analysis, the system achieves multi-functionality across different device platforms.
2Reliability
If mobile terminal posture parameters are analyzed, then false data from mobile terminals can be identified, but the system complexity increases
Solution Approach 1:
The patent segments the false data detection process into distinct modules: posture parameter acquisition, location information collection, preset condition configuration, and determination logic. This modular segmentation reduces system complexity by making each component independent and manageable while maintaining overall detection reliability.
Solution Approach 2:
The patent implements preliminary action by pre-configuring determination conditions and thresholds before actual data detection occurs. Preset conditions including posture variation thresholds, location matching criteria, and time interval limits are established in advance, simplifying the real-time detection process.
3Measurement precision
If multiple parameters including posture, location, and time are analyzed, then false data identification accuracy improves, but the data processing time increases
Solution Approach 1:
The patent applies partial action by selectively analyzing parameters based on detection needs. Not all parameters are processed with equal depth - the system performs quick preliminary checks on certain parameters and only conducts detailed analysis when initial screening indicates potential false data, reducing overall processing time while maintaining precision.
Solution Approach 2:
The system performs preliminary filtering using preset conditions and thresholds before comprehensive parameter analysis. By pre-establishing determination criteria for posture variation, location proximity, and time intervals, the system quickly eliminates obvious false data cases without requiring full parameter processing.
Data Source
AI summary
A server receives target data sent by a mobile terminal, the target data carrying a parameter set, the parameter set including at least a target posture parameter of the mobile terminal. When the amount of change in posture variation is smaller than the preset variation threshold, such fact indicates that the posture when the mobile terminal sends the target data hardly changes compared with the postures that the mobile terminal historically sends the target data to the server. As the posture of the mobile terminal is frequently changed during the process of normal use of the mobile terminal, the target data sent by the mobile terminal without posture change is regarded as false data. Thus, the present techniques ensure the fairness and efficiency of data processing.