Geolocation-Based Device Tampering Detection System
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Solution Overview
Problem
Existing methods for detecting device 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 utilizing geolocation and ambient sensors to detect anomalies in an item's transit route and environment, validating or deactivating the item based on predefined criteria, thereby preventing unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing tampering detection methods are used, then tampering detection capability is provided, but the methods require specialized skills that not all end users can be expected to have and produce high false positives
Solution Approach 1:
The system performs automatic tampering detection without requiring user intervention or specialized skills. The processor automatically compares actual geolocation data with expected geolocation data, detects anomalies, and determines whether tampering occurred, making the system self-serving and easy for end users to operate.
Solution Approach 2:
The patent replaces manual tampering detection methods with an automated electronic system using geolocation sensors and processors. This substitution eliminates the need for users to have specialized skills while improving detection accuracy through automated data comparison and anomaly detection algorithms.
2Loss of energy
If existing tampering detection methods are used, then tampering detection is provided, but computer, memory, and networking resources are wasted when tampered items are not deactivated in time
Solution Approach 1:
The system performs preliminary tampering detection during transit by continuously monitoring geolocation data and comparing it with expected routes. By detecting tampering anomalies before the item reaches its destination, the system prevents resource wastage that would occur if tampered items were activated and processed later.
Solution Approach 2:
The system implements continuous feedback by monitoring geolocation data, comparing actual positions with expected positions, and immediately detecting deviations that indicate tampering. This real-time feedback mechanism ensures timely detection and deactivation of tampered items, preventing subsequent resource wastage.
3Object-affected harmful factors
If sophisticated tampering methods are used, then access to valuable information or resources is obtained, but the methods are less easily detected by the end user
Solution Approach 1:
The patent replaces complex manual inspection methods with automated geolocation-based detection systems. This substitution enables the detection of sophisticated tampering methods that would be difficult for end users to identify manually, while the automated nature of the system keeps the user interface simple.
Solution Approach 2:
The system introduces geolocation data as an intermediary element that objectively records the item's transit route. This intermediary provides reliable evidence of tampering without requiring complex detection devices at the destination, as the geolocation anomalies themselves serve as the detection mechanism.
Data Source
AI summary
A system and method 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 position of 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 location of the item at that time and if the comparison shows a degree of difference that is greater than a predetermined threshold that indicates the item may have been diverted and tampered with during transit, the system and method performs an action to disable the item.