Multi-Device Security Risk Evaluation System
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Solution Overview
Problem
Users with multiple connected devices face challenges in accurately evaluating and managing their overall security and privacy risks, as existing solutions often focus on individual devices rather than providing a holistic view across all devices.
Innovation Solution
A Security and Privacy Score (SPS) system that uses Statistical Process Control (SPC) techniques to evaluate the security risk of multiple connected devices, providing a single reference point for users to assess their overall security and privacy status, and suggesting improvements based on changing risk factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current security risk evaluation solutions scan individual devices and suggest modifying privacy settings, then security settings can be improved for specific devices, but the scope is restricted and does not provide a holistic view across multiple devices
Solution Approach 1:
The patent combines security risk evaluations from multiple individual devices into a single aggregated risk score. The system collects security data from various devices (smartphones, tablets, computers, IoT devices), evaluates risks on each device, and then merges these evaluations into a comprehensive multi-device risk assessment that provides a holistic security view across the entire device ecosystem.
Solution Approach 2:
The security evaluation system is designed to work universally across different device types and platforms. It can assess security risks on smartphones, tablets, computers, and IoT devices using a unified evaluation framework, making the solution adaptable to diverse multi-device environments while maintaining consistent security assessment criteria.
2Loss of information
If visual representation of all user devices is provided, then complete device coverage is achieved, but the abundance of information overwhelms users and does not scale well with increasing numbers of devices
Solution Approach 1:
The system extracts the most critical security risk factors from the comprehensive multi-device evaluation and presents them in a simplified format. Instead of displaying all security details from every device, it identifies and highlights the key risks that have the greatest impact on overall security, making the information digestible while retaining essential security insights.
Solution Approach 2:
The patent applies different levels of detail and presentation to different aspects of the security evaluation. High-level aggregate metrics are presented for overall security status, while detailed device-specific information is available on-demand for users who need to investigate particular devices. This allows the interface to scale effectively as the number of devices increases.
3Reliability
If all connected devices including smart devices, wearables, and automobiles are included in security evaluation, then comprehensive security coverage is achieved, but the complexity of security implications and interconnections increases significantly
Solution Approach 1:
The patent segments the multi-device security evaluation into manageable components. It divides the evaluation process into device-level assessments and aggregate-level synthesis, and further segments the types of devices into categories (personal devices, IoT devices, wearables, vehicles) with device-specific evaluation criteria. This segmentation reduces the complexity of assessing interconnected devices while maintaining comprehensive coverage.
4Measurement precision
If security risk evaluation focuses on individual devices, then detailed device-specific security assessment is provided, but users cannot get a holistic idea of their overall security and privacy risks
Solution Approach 1:
The system implements feedback mechanisms where device-specific security assessments contribute to the overall multi-device risk score, and the aggregate risk level feeds back into individual device evaluations. This creates a layered feedback structure that maintains precise device-level measurements while synthesizing holistic security information, allowing users to understand both individual device security and overall security posture.
Data Source
AI summary
Security risk evaluation across user devices is disclosed herein. An example method includes identifying a user and one or more devices associated with the user, collecting information identifying applications used by the user on the one or more devices, determining respective security sub-scores for each item of the one or more devices, computing an overall security score for the user based, at least in part, on an aggregation of the security sub-scores, and creating a user profile based on the overall security score, the user profile to enable the at least one of the one or more devices to exchange data with an external device when the overall security score meets a security score threshold, the user profile to prevent the at least one of the one or more devices from exchanging data with the external device when the overall security score does not meet the security score threshold.