Remote Diagnosis of Unauthorized Mobile Hardware Changes
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Solution Overview
Problem
There is a need to monitor and mitigate unauthorized hardware changes on mobile devices to prevent damage to the device, users, and service providers, as consumers often modify devices beyond authorized specifications, leading to safety issues and financial losses.
Innovation Solution
A system and method for detecting unauthorized hardware changes on mobile devices, involving a detection module that identifies changes through component identification and behavior characteristics, and a comparator that determines if the changes are authorized or not, with actions taken based on predefined policies to manage the device's operation and communicate with users and service providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If consumers modify devices to include unauthorized features, then device functionality and features are enhanced, but device safety and service integrity are compromised
Solution Approach 1:
The system performs preliminary detection of hardware changes by comparing component identification data against authorized specifications before unauthorized modifications can cause harm. The detection module proactively identifies unauthorized components and triggers policy-based actions to prevent safety issues before they occur.
Solution Approach 2:
The system establishes a feedback loop where the detection module continuously monitors hardware changes, compares them against authorized specifications, and communicates findings to the policy module. This feedback mechanism enables real-time enforcement of safety policies and dynamic adjustment of device functionality based on detected changes.
2Object-affected harmful factors
If unauthorized hardware changes are detected and actions are taken to mitigate risks, then device safety is improved, but device functionality may be limited
Solution Approach 1:
The policy module applies localized restrictions only to the specific unauthorized components or functions identified by the detection module, rather than globally disabling all device functionality. This allows authorized features to continue operating while selectively limiting only the problematic unauthorized modifications.
Solution Approach 2:
The system dynamically adjusts device functionality based on the severity and type of unauthorized changes detected. Policies can be configured to apply different levels of restriction - from warnings and logging to partial or complete functional limitations - allowing the system to respond proportionally to the detected threat level rather than applying fixed restrictions.
3Measurement precision
If comprehensive monitoring of hardware changes is implemented, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: a detection module that collects component identification data, a comparison module that checks against authorized specifications, and a policy module that enforces actions. This modular architecture improves detection accuracy while managing complexity through clear separation of concerns and independent module operation.
Solution Approach 2:
The patent introduces an intermediary database or storage mechanism that holds authorized hardware specifications and component identification data. This intermediary layer simplifies the comparison process by providing a centralized reference point, reducing the complexity of direct real-time comparisons while maintaining high detection accuracy through pre-stored authorized configurations.
4Reliability
If remote diagnosis and notification systems are implemented, then service provider response capability is improved, but communication overhead increases
Solution Approach 1:
The system performs preliminary analysis and diagnosis of unauthorized hardware changes locally on the device before contacting the service provider. The detection and policy modules prepare diagnostic information, change details, and recommended actions in advance, so that when communication with the service provider is initiated, the data is already structured and ready for immediate response, reducing communication overhead and accelerating the response timeline.
Data Source
AI summary
Aspects describe remotely diagnosing unauthorized hardware changes on a mobile device. The changes can be identified based on hardware component identification and/or based on behavior characteristics of the device. If an unauthorized change is detected, information relating to that change can be reported to a service provider. Further, actions associated with the authorized change can be automatically implemented or implemented after confirmation to proceed with the recommended action.


