Information Processing Apparatus With Packet-Count Model Switching
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Solution Overview
Problem
Existing security settings for information processing apparatuses fail to adapt appropriately to diverse usage environments such as office, telework, and public spaces, as they do not account for the number of packets used in estimating the environment.
Innovation Solution
An information processing apparatus uses separate models based on the number of acquired packets to estimate its usage environment, switching between a first model when packets exceed a threshold and a second model when they fall below it, and displays the result, with data input from communication logs to determine appropriate security settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single estimation model is used regardless of packet quantity, then the device complexity is reduced, but the measurement precision of usage environment estimation deteriorates
Solution Approach 1:
The patent divides the estimation model into two separate models: a first model for when the number of packets is greater than or equal to a threshold, and a second model for when the number of packets is less than the threshold. This segmentation allows each model to be optimized for its specific data condition, improving measurement precision without requiring an overly complex unified model.
Solution Approach 2:
The patent changes the parameter of model selection based on the number of packets acquired. By dynamically selecting which model to use based on packet quantity, the system adapts to different data conditions, achieving high precision across varying network traffic scenarios without maintaining excessive model complexity.
2Measurement precision
If separate models are used based on packet quantity, then the measurement precision of usage environment estimation is improved, but the device complexity increases
Solution Approach 1:
The patent segments the estimation task into two distinct models based on packet quantity thresholds. This segmentation improves measurement precision by allowing each model to specialize in specific data conditions, while the complexity increase is managed through clear separation of concerns and threshold-based selection logic.
Solution Approach 2:
The patent implements dynamic model selection based on the number of packets acquired. The system automatically switches between the first and second models depending on whether packet count meets the threshold, enabling adaptive precision improvement without requiring manual configuration or complex decision-making processes.
3Ease of operation
If security settings are preliminarily applied for a single usage environment, then the ease of operation is improved, but the adaptability to diverse usage environments deteriorates
Solution Approach 1:
The patent enables the information processing apparatus to automatically estimate its own usage environment and apply appropriate security settings without user intervention. The system self-determines which security profile to apply based on packet analysis, maintaining ease of operation while achieving adaptability to diverse environments through automated environmental assessment.
Solution Approach 2:
The patent changes security settings parameters based on the estimated usage environment. By dynamically adjusting security parameters according to the detected environment type (office, telework, public space, etc.), the system achieves versatility across different usage scenarios while maintaining simple user interaction through automatic adaptation.
Data Source
AI summary
An information processing apparatus acquires a plurality of packets that includes packets transmitted to the information processing apparatus and packets received by the information processing apparatus, performs estimation of a usage environment of the information processing apparatus by inputting data that indicates a feature of the acquired plurality of packets to a model, and displays a result of the estimation, wherein, when the number of the acquired plurality of packets is greater than or equal to a threshold value, the estimation is performed by inputting data that indicates a feature of the acquired plurality of packets to a first model, and wherein, when the number of the acquired plurality of packets is less than the threshold value, the estimation is performed by inputting data that indicates a feature of the acquired plurality of packets to a second model different from the first model.