Security Rating System for Group Communication Risk Mitigation
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Solution Overview
Problem
Mobile computing device users are vulnerable to security risks due to the spread of malicious content through social and communication apps, as they often unknowingly share or forward insecure content within groups, leading to device infections and the risk of spreading infections to others.
Innovation Solution
A computing device system that tracks and monitors communications from group members, assigns security ratings based on content analysis, and takes protective actions when ratings exceed a threshold, such as blocking communications or removing users from groups, to prevent exposure to malicious content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users participate in group communications to maintain social connectivity, then communication versatility is improved, but security risk increases due to potential exposure to malicious content from unknown group members
Solution Approach 1:
The system introduces a security rating mechanism as an intermediary layer between group members and users. This intermediary assigns security ratings to communicating entities based on their content sharing behavior, allowing users to assess risk without leaving the group communication environment. The security rating system mediates the interaction by providing security information about group members while preserving the ability to participate in group communications.
2Reliability
If the system monitors and analyzes all communications from group members to identify security risks, then security protection is improved, but device complexity increases due to multiple analysis components
Solution Approach 1:
The security analysis system is segmented into distinct functional components: content analysis module, behavior tracking module, rating calculation module, and notification module. Each component handles a specific aspect of security monitoring, making the overall complex task manageable and maintainable. The segmentation allows the system to process communications through multiple specialized functions rather than a monolithic complex system.
Solution Approach 2:
The system implements feedback loops where content analysis results feed back into security rating calculations, which then influence communication filtering decisions and user notifications. This feedback mechanism allows the system to continuously improve its security protection by learning from analyzed content and adjusting ratings dynamically, reducing the need for overly complex analysis components.
3Speed
If security ratings are adjusted frequently in response to detected security concerns, then security responsiveness is improved, but processing time increases due to continuous analysis and rating updates
Solution Approach 1:
The system performs preliminary actions by pre-establishing security rating thresholds and analysis criteria before malicious content is detected. When security concerns are identified, the system can quickly adjust ratings based on pre-defined rules rather than performing complex real-time calculations. This preliminary preparation enables fast security responsiveness while minimizing processing time during actual threat response.
Data Source
AI summary
Communications received by a computing device originating from communicating entities that are members of the same group(s) as a user are tracked. A corresponding unique identifier is maintained for each such communicating entity, and an associated security rating is configured. A security analysis is performed on content received by the computing device from these communicating entities. The security ratings associated with given communicating entities are adjusted, responsive to given security analyses of content received by the computing device from these associated communicating entities, where such an analysis identifies security concerns. Responsive to the security rating of a specific communicating entity exceeding a predefined threshold, one or more security actions are taken to prevent the user of the computing device from being exposed to communication from that communicating entity.


