Ambient Sensor Tamper Detection for In-Transit Item Deactivation
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Solution Overview
Problem
Existing methods for detecting item tampering during transit are ineffective for end users who lack specialized skills and often result in high resource consumption and false positives.
Innovation Solution
A system using ambient sensors and geolocation sensors to detect anomalies in light and sound levels, transmitting data to a processor for analysis, and invalidating or activating items based on predetermined criteria to confirm or deny tampering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing tampering detection methods are used, then tampering can be detected, but the methods require specialized skills that not all end users possess and produce high false positives
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple sensors (light, sound, geolocation) and predetermined criteria before transit begins. The sensors continuously monitor environmental parameters and automatically compare readings against expected ranges, eliminating the need for end users to perform complex detection procedures or possess specialized skills.
Solution Approach 2:
The patent introduces an intermediary automated analysis system that processes sensor data and determines tampering. Instead of requiring end users to directly analyze complex sensor readings, the system acts as an intermediary that automatically interprets data, compares it against predetermined criteria, and generates tampering determinations, thereby simplifying end user interaction while maintaining high detection accuracy.
2Reliability
If existing tampering detection methods are used, then tampering may be identified, but valuable computer, memory, and networking resources are wasted by continuing to use tampered items before detection
Solution Approach 1:
The system performs preliminary validation by continuously monitoring sensor data during transit and proactively identifying tampering before the item reaches its destination or is activated. By detecting anomalies in light, sound, or geolocation data against predetermined criteria, the system prevents tampered items from being deployed, thereby avoiding waste of computational resources, memory, and networking bandwidth that would result from processing or executing tasks with compromised items.
3Object-affected harmful factors
If sophisticated tampering methods are used to access sensitive resources, then access to valuable information may be obtained, but detection becomes more difficult for end users
Solution Approach 1:
The patent segments the tampering detection function into multiple independent sensor modules (light sensor, sound sensor, geolocation sensor) that monitor different environmental parameters simultaneously. This segmentation allows the system to detect various sophisticated tampering methods through multiple independent channels, with each sensor capturing different aspects of potential tampering events, making it difficult for adversaries to bypass all detection mechanisms while keeping individual sensor implementations simple.
Data Source
AI summary
A system for detecting tampering of an item during transit from a source to a destination. The system includes a processor which receives a plurality of measurements of the environment surrounding the item during transit and detects at least one anomaly in the plurality of measurements. When the at least one anomaly is detected, it is compared with the expected measurement at the location and/or time and if the comparison shows a degree of difference that is greater than a predetermined threshold that indicates the item may have been tampered with during transit, the system and method performs an action to disable the item.