Mesh Network Dynamic Security Scoring for Offline Transactions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In offline mobile environments, the lack of central server connectivity hampers the security and legitimacy of interactions, making it difficult to determine fraudulent activities and authorize transactions effectively.
Innovation Solution
A system and method for determining a data security value in an offline mesh network, where user devices communicate with each other to share and evaluate security values, allowing or denying interactions based on an updated security value calculated from the collective assessments of nearby devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized server authorization is used for offline interactions, then security and legitimacy of transactions can be maintained, but service availability becomes non-existent when offline
Solution Approach 1:
The centralized security system is segmented into distributed security modules on each user device. Each device independently evaluates security values based on local criteria and shared information from neighboring devices, eliminating the single-point dependency on central servers while maintaining security functionality offline.
Solution Approach 2:
Security value information acts as an intermediary between devices in the mesh network. Instead of direct centralized authorization, devices exchange and evaluate security values from multiple sources to reach consensus on transaction legitimacy, enabling offline security verification without central server intervention.
2Reliability
If centralized server connectivity is required for security validation, then fraudulent activities can be detected, but interactions cannot proceed in offline environments
Solution Approach 1:
Security values are pre-calculated and stored on each user device based on device characteristics, historical behavior, and trusted credentials. This preliminary security assessment enables devices to perform fraud detection independently offline without requiring real-time server connectivity during transactions.
Solution Approach 2:
Devices provide feedback in the form of security values to neighboring devices in the mesh network. This distributed feedback mechanism allows collective fraud detection where each device contributes its security assessment, enabling the network to identify fraudulent activities offline through aggregated security evaluations.
3Productivity
If security values are determined by individual devices independently, then offline security assessment is possible, but security reliability decreases without collective evaluation
Solution Approach 1:
Multiple individual security value assessments from neighboring devices are merged into a collective security evaluation. The receiving device combines security values from multiple sources through evaluation and aggregation, enhancing the reliability and accuracy of offline security assessment beyond what any single device could achieve alone.
Data Source
AI summary
A method is disclosed. A user device may determine, prior to joining a mesh network comprising a plurality of user devices, a first data security value. The user device may then communicate with the plurality of user devices to join the mesh network. The user device may receive a plurality of additional data security values from a plurality of proximate user devices. The user device may then determine an updated data security value based at least upon evaluating the plurality of additional data security values associated with the plurality of proximate user devices. The user device may allow or not allow the user device to perform an interaction based at least upon the updated data security value.