IoT Reference Network Trust Verification
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Solution Overview
Problem
The challenge for extending the functionality of IoT devices is ensuring security, particularly in sensitive transactions, as existing systems lack effective mechanisms to verify the trustworthiness of IoT devices attempting to complete transactions, which can lead to fraudulent activities like identity theft.
Innovation Solution
A method is introduced to establish a reference network among IoT devices, where one IoT device requests others to monitor its behavior, store its history, and provide references, using a block chain to authenticate and authorize transactions, and a ration system to manage reference requests and prevent overloading, thereby enhancing security and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a reference network with multiple IoT devices is established to verify trustworthiness, then security against fraudulent transactions is improved, but device complexity and system overhead increase
Solution Approach 1:
The system segments the trust verification function into distributed reference devices that independently monitor and record IoT device behavior. Each reference device maintains separate reference ration accounts and event logs, dividing the overall verification system into manageable, independent units that collectively provide comprehensive security without requiring a single complex centralized authority
Solution Approach 2:
The patent introduces reference devices as intermediary entities between IoT devices and transaction verification systems. These intermediaries monitor events, maintain reference ration accounts, and provide trusted references without directly participating in the core transaction processing, thereby reducing the complexity burden on the primary IoT devices while enhancing overall system reliability
2Productivity
If reference ration accounts are implemented to manage reference requests, then processing load distribution is improved, but system complexity increases
Solution Approach 1:
The reference ration account system implements dynamic load management where reference rations are allocated, consumed, and replenished based on real-time monitoring of event volumes and processing capacity. This dynamic adjustment allows the system to adapt processing load distribution to current conditions, improving productivity while the automated nature of the system minimizes the operational complexity burden
Solution Approach 2:
The system enables reference devices to autonomously manage their own reference ration accounts, automatically tracking event volumes, consuming rations when providing references, and requesting replenishment when thresholds are met. This self-service mechanism distributes the management complexity across individual devices rather than requiring centralized control, improving overall system productivity while maintaining manageable device-level complexity
3Reliability
If IoT devices monitor and store event data for references, then fraud detection capability is improved, but data storage and processing requirements increase
Solution Approach 1:
The system implements local quality by having each reference device store and process only the event data relevant to its specific monitoring scope and reference ration account. Rather than centralized storage of all IoT device data, each reference device maintains localized event logs and reference ration accounts tailored to its function, reducing overall data storage requirements while maintaining comprehensive fraud detection capability through distributed monitoring
Solution Approach 2:
The patent implements preliminary action by having reference devices continuously monitor and pre-process event data in the background, maintaining ready-to-use reference information and event logs before transactions occur. This preliminary processing ensures that fraud detection can proceed efficiently without requiring intensive real-time data analysis, reducing the computational and storage burden during actual transaction verification while maintaining high detection capability
Data Source
AI summary
A method of operating a reference network comprising a plurality of Internet-of-things (IoT) devices. The method comprises monitoring reference activities of a plurality of IoT devices in a reference network by a first IoT device, wherein the monitoring comprises detecting events of reference rations being delivered to the IoT devices and detecting events of references being transmitted by the IoT devices, maintaining a reference ration account balance by the first IoT device for each of the IoT devices, determining by the first IoT device that a second IoT device transmits a reference while the reference ration account balance of the second IoT device is below a threshold value, and transmitting a report by the first IoT device, where the report identifies the second IoT device, identifies the reference transmitted by the second IoT device, and identifies the value of the reference ration account balance of the second IoT device.