Information Processing Apparatus for Adaptive Security via Communication Feature Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a challenge in ensuring appropriate security settings for information devices, especially in diverse usage environments such as offices, remote working, and public spaces, where users without expert security knowledge manage devices that often have insufficient security measures, making them vulnerable to attacks.
Innovation Solution
An information processing apparatus that includes an acquisition unit to gather communication feature information, an estimation unit to estimate the device usage environment using a trained machine learning model based on the gathered information, and a notification unit to inform the estimated usage environment, thereby assisting in configuring appropriate security settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If security settings are pre-configured for a single usage environment, then the device can be used with appropriate security measures without user intervention, but it cannot adapt to diverse usage environments such as offices, remote working, or public spaces
Solution Approach 1:
The system performs self-service by automatically detecting the usage environment through communication feature analysis and selecting appropriate security settings without requiring user expertise or manual configuration. The information processing apparatus autonomously monitors communication patterns, determines the current usage environment, and applies corresponding security policies, thereby eliminating the need for user intervention while adapting to diverse environments.
Solution Approach 2:
The system changes security parameters dynamically based on detected usage environment characteristics. By analyzing communication features such as network traffic patterns, device interactions, and communication frequency, the system adjusts security settings parameters to match the appropriate usage environment (office, remote working, or public space), thereby achieving adaptability without user involvement.
2Reliability
If an administrator with security expertise manually configures security settings for each usage environment, then appropriate security measures can be applied, but users without expert knowledge cannot properly configure security settings
Solution Approach 1:
The system eliminates the need for administrator expertise by performing self-service security configuration. It automatically detects the usage environment through communication feature analysis and selects appropriate security settings, thereby providing reliable security measures without requiring any user knowledge or manual configuration effort.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring communication features and comparing them against known patterns for different usage environments. Based on this feedback, the system automatically adjusts security settings to match the detected environment, ensuring appropriate security measures are applied without user intervention.
3Reliability
If security settings are customized for each usage environment, then appropriate security measures can be applied, but the device complexity increases
Solution Approach 1:
The system extracts the complexity of security configuration from the user side and relocates it to the system side. By内置 (building in) automated environment detection and security policy selection capabilities, the system handles the complex task of matching security settings to usage environments internally, thereby maintaining simple user interaction while ensuring appropriate security measures are applied.
Solution Approach 2:
The system achieves universality by implementing a single automated mechanism that handles multiple usage environments (office, remote working, public space). The communication feature analysis and security policy selection system serves all environment types through one unified approach, thereby providing environment-specific security without requiring separate configuration systems for each usage scenario.
Data Source
AI summary
An information processing apparatus according to an aspect of the present disclosure acquires feature information on communication performed by the information processing apparatus, estimates a usage environment of the information processing apparatus based on a trained model, which is generated through machine learning performed based on feature information on communication performed by a plurality of devices different from the information processing apparatus and setting information on usage environments set for the plurality of devices, and on the acquired feature information on the communication related to the information processing apparatus, and notifies the estimated usage environment of the information processing apparatus.