IoT Sensor Web Management with Unique Frequency Keys
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Solution Overview
Problem
The Internet of Things (IoT) industry faces challenges with network capacity, forensic accountability, and data security, particularly due to the limitations of traditional IoT sensors which lack crypto stacks and are vulnerable to cyber attacks, making it difficult to track and diagnose malfunctions, and secure data exchanges.
Innovation Solution
A sensor web management system that monitors IoT sensor devices, determines health status, generates alerts, and uses satellite images to identify causes of malfunctions, providing recommendations for mitigation, while embedding unique frequency keys for enhanced security and GPS tracking for location management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional IoT sensors are used to reduce device size and cost, then device complexity is reduced, but data security and forensic accountability deteriorate due to lack of crypto stacks and tracking capabilities
Solution Approach 1:
The system separates security and tracking functions from the IoT sensor device itself, placing them in an external management system. The sensor device remains simple while the management system handles crypto operations, frequency key management, and forensic analytics, thus resolving the contradiction between device simplicity and security reliability.
Solution Approach 2:
An external sensor web management system acts as an intermediary between IoT sensor devices and the network/service providers. This intermediary performs security functions including data encryption, frequency key management, and forensic accountability, allowing simple sensors to communicate securely without having built-in crypto stacks.
2Productivity
If IoT sensor devices go offline due to malfunction or compromise, then service continuity is disrupted, but the ability to track and diagnose the device is lost
Solution Approach 1:
The system performs preliminary actions by continuously monitoring sensor health status, tracking device locations via GPS, and maintaining logs of device communications before malfunctions occur. When a device goes offline, this pre-collected information enables immediate forensic analysis and rapid diagnosis without losing critical data.
Solution Approach 2:
The management system implements continuous feedback loops by monitoring sensor health status, location data, and communication patterns. When anomalies are detected or devices go offline, the system automatically triggers forensic analytics and generates actionable intelligence, ensuring service continuity through rapid response and diagnosis.
3Quantity of substance
If more IoT sensors are deployed to expand network coverage, then network capacity increases, but data security vulnerabilities increase due to insecure data exchanges
Solution Approach 1:
The sensor web management system provides universal security services to all IoT sensor devices in the network. A single centralized system performs data encryption, frequency key management, and forensic analytics for numerous sensors, eliminating the need for each sensor to have individual security capabilities while securing all data exchanges across the expanded network.
Data Source
AI summary
Concepts and technologies are disclosed herein for a sensor web for Internet of Things (“IoT”) devices. According to one aspect disclosed herein, a system can monitor a health status of an IoT sensor device of a plurality of IoT sensor devices. The system can determine that the health status of the IoT sensor device indicates a sensor malfunction experienced by the IoT sensor device, and in response, can generate and send an alert to a forensic analytics module. The alert can identify the sensor malfunction. In response to the alert, the forensic analytics module can determine a last known location of the IoT sensor device. The system can obtain a set of satellite images of the last known location of the IoT sensor device, and can utilize the set of satellite images of the last known location to determine a cause of the sensor malfunction.