Trust Mediator Agents for Dynamic Mobile Security Adaptation
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Solution Overview
Problem
Existing security systems for mobile financial transactions lack adaptability to dynamic changes in network security characteristics, leading to increased risks and difficulties for financial account issuers in managing security across various devices and networks, especially in new markets.
Innovation Solution
Implementing trust mediator agents that continuously detect changes in network security characteristics using sensors and adjust security safeguards accordingly, allowing for real-time adaptation and risk management across different network segments and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static security measures are deployed in traditional security systems, then security control is simplified, but the system cannot adapt to dynamic changes in network security characteristics
Solution Approach 1:
The patent implements dynamic security measures that automatically adjust based on real-time sensor data from the network environment. Trust mediator agents continuously monitor security characteristics and modify security safeguards dynamically, transforming static security systems into adaptive ones that respond to changing threats without requiring complete system redesign.
Solution Approach 2:
The system incorporates feedback loops where sensor data about network security characteristics is continuously collected, analyzed by trust mediator agents, and used to adjust security measures. This closed-loop feedback mechanism enables the system to learn from environmental changes and adapt security policies in real-time, resolving the contradiction between adaptability and complexity.
2Reliability
If exhaustive security analysis is performed for each new network component, then security reliability is improved, but time-to-market for entering new markets increases
Solution Approach 1:
The trust mediator agents perform automatic security analysis and adaptation when encountering new network components or environments. Instead of requiring manual exhaustive analysis by security designers, the system self-configures security measures based on sensor data from the new environment, dramatically reducing time-to-market while maintaining security reliability through automated risk assessment and adaptation.
Solution Approach 2:
The system performs preliminary security analysis automatically upon encountering new network components before actual transactions occur. Trust mediator agents proactively assess security characteristics of new networks and preconfigure appropriate security safeguards, eliminating the need for lengthy post-deployment security analysis and enabling faster market entry.
3Adaptability or versatility
If security measures are modified to accommodate new network risks, then security adaptability is improved, but system stability and transaction continuity may be disrupted
Solution Approach 1:
The system implements partial security measure modifications rather than complete system changes. Trust mediator agents selectively adjust only the specific security safeguards needed to address detected risks, leaving the rest of the system unchanged. This partial action approach maintains system stability and transaction continuity while providing necessary security adaptability to new threats.
Solution Approach 2:
The dynamic adjustment mechanism allows security measures to be modified in real-time based on detected risks without complete system reconfiguration. The system transitions smoothly between security states, maintaining operational continuity while adapting to new network conditions, thus preserving both stability and adaptability.
4Measurement precision
If manual security system modification is performed, then security control precision is improved, but productivity and response speed to security breaches decrease
Solution Approach 1:
Trust mediator agents automatically perform security analysis, risk assessment, and security measure modification without human intervention. The system self-configures security policies based on sensor data and predefined security rules, maintaining precise security control while dramatically improving response speed to security breaches and eliminating manual modification bottlenecks.
Solution Approach 2:
The patent replaces manual mechanical security system modification with automated electronic processes. Trust mediator agents use software-based security rules and sensor data to automatically adjust security measures, substituting human operators with automated systems that provide both precision and high-speed response to security threats.
Data Source
AI summary
A system, method, and computer-readable medium for reporting sensor data over a communication network are provided. A data reporting instruction that identifies at least one of a sensor or a data reporting technique is received from a trust mediator over a communication network. The data reporting instruction is based at least in part on an identified risk. Sensor data is obtained from the sensor, and the sensor data is transmitted to the trust mediator over the communication network based on the data reporting technique.


