IoT Anomaly Detection via State and Sound Correlation
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Solution Overview
Problem
Existing IoT systems lack effective methods to detect abnormal network situations, such as attacks or malfunctions, which can lead to security breaches and operational failures, due to the inability to accurately correlate state information and sound information from IoT devices.
Innovation Solution
An electronic device equipped with a processor and communication circuit that collects state information and sound information from IoT devices, performing anomaly monitoring by correlating these data types to detect abnormal situations, including sound-based anomaly monitoring to identify potential threats or malfunctions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If anomaly monitoring is performed using only state information from IoT devices, then the monitoring system is simple to implement, but the detection precision of abnormal situations is insufficient
Solution Approach 1:
The patent combines state information (from sensors, logs, etc.) and sound information (from acoustic sensors) into a unified anomaly monitoring system. The server correlates these different types of information to detect abnormal situations, thereby improving detection precision while managing system complexity through integrated processing.
Solution Approach 2:
The server acts as an intermediary that receives, processes, and correlates state information from IoT devices with sound information from acoustic sensors. This intermediary component enables the system to achieve high detection precision by analyzing correlations between different information types without requiring complex processing at the edge devices.
2Measurement precision
If multiple types of information are collected and correlated for anomaly monitoring, then the detection precision improves, but the device complexity increases
Solution Approach 1:
The system segments the anomaly monitoring functionality into distinct components: IoT devices that collect state information, acoustic sensors that collect sound information, and a server that performs correlation analysis. This segmentation allows each component to remain relatively simple while achieving high overall detection precision through their coordinated interaction.
Data Source
AI summary
An electronic device includes memory storing instructions, a communication circuit, and a processor. The instructions that cause the electronic device to: obtain state information collected by at least one first Internet of Things (IoT) device and sound information comprising an amplitude of at least one sound signal collected by at least one second IoT device, perform first anomaly monitoring, based on a correlation between the state information and the sound information, and perform second anomaly monitoring, based on the state information.