Security Dashboard for User Device Risk Assessment
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Solution Overview
Problem
Average users lack the expertise to effectively assess and manage the security risks of their computing devices, as traditional risk assessment tools focus on technical configurations and are not user-friendly, failing to provide a clear understanding of how vulnerabilities and threats impact their daily usage.
Innovation Solution
A system that generates use-based risk scores for end-user host devices, providing a user-friendly representation of security risks by mapping device attributes to potential uses, such as web browsing or online banking, and offering actionable insights and countermeasures through a security dashboard, utilizing a security score engine and dashboard engine that communicates with the user through a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional risk assessment tools are used, then security risk analysis capability is improved, but user-friendliness deteriorates
Solution Approach 1:
The patent introduces a security score engine as an intermediary that translates complex security attributes into simplified risk scores. The engine collects security attributes from the host device, processes them through a scoring model, and presents results as intuitive risk scores with color-coded indicators (green, yellow, red) that represent low, medium, and high risk levels respectively. This intermediary layer bridges the gap between technical security data and user comprehension.
Solution Approach 2:
The patent transforms multiple security attributes (operating system, antivirus status, firewall configuration, etc.) into a single risk score parameter. By changing the representation from multiple technical parameters to one综合 risk score, the system maintains measurement precision while dramatically improving ease of operation and user understanding.
2Measurement precision
If detailed security attributes are collected, then risk assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The patent extracts only the most relevant security attributes needed for risk assessment (operating system, antivirus software, firewall status, etc.) rather than collecting all possible device attributes. The security score engine selectively gathers data from specific sources and ignores irrelevant information, thereby maintaining assessment accuracy while reducing system complexity.
Solution Approach 2:
The patent segments the risk assessment process into distinct modules: attribute collection, scoring model processing, and result presentation. Each module handles specific tasks independently, making the overall system more manageable and less complex while maintaining comprehensive risk assessment capability.
3Ease of operation
If use-based risk scores are provided, then user understanding is improved, but information processing complexity increases
Solution Approach 1:
The security score engine serves multiple functions simultaneously: it collects security attributes, processes them through a scoring model, generates risk scores, and presents them in a user-friendly format. This multi-functional approach consolidates information processing complexity into a single engine while providing comprehensive use-based risk assessment that improves user understanding.
Data Source
AI summary
Attribute data of an endpoint computing device is collected that describes attributes of the endpoint computing device. The attribute data is communicated to a security score generator and security score data is received for the endpoint computing device. A graphical dashboard interface is caused to be presented on a display device, the dashboard interface presenting a plurality of security ratings based on the security score data, each security rating representing an amount of risk determined to be associated with a corresponding user activity on the endpoint device in a plurality of user activities.


