Automated Customer Data Removal via Segmented Flashing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in effectively removing customer private information (CPI) from electronic devices to prevent identity theft and ensure compliance with laws and industry standards, as existing methods often fail to thoroughly clear sensitive data, leading to logistical and privacy issues during returns, repairs, and refurbishments.
Innovation Solution
A system and method involving a server-based flashing program that communicates with electronic devices through a secure connection, using a computing device to identify and remove CPI, ensuring the devices are reset to a secure state, compliant with industry standards, and configured for reuse or redistribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing methods are used to remove CPI from electronic devices, then the removal process is simple and quick, but the removal is not thorough and leaves sensitive data behind
Solution Approach 1:
The system segments the CPI removal process into multiple distinct phases: detection phase (scanning for personal information), removal phase (deleting identified CPI), and verification phase (confirming complete removal). This segmentation allows each phase to be optimized independently, ensuring thorough removal while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary verification system that acts as a mediator between the removal process and final confirmation. This intermediary layer independently verifies that CPI has been completely removed, providing an additional safety check that enhances reliability without requiring complete redesign of the removal mechanism itself.
2Productivity
If manual CPI removal methods are used, then the system is simple to implement, but the process is time-consuming and prone to human error
Solution Approach 1:
The system implements self-service automation where the electronic device itself participates in the CPI removal process by providing its own data structure information and compliance criteria. The device autonomously identifies its personal information locations and verification requirements, eliminating the need for manual configuration while maintaining system simplicity through self-describing architectures.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors the removal process, verifies compliance with industry standards, and adjusts its actions accordingly. This automated feedback loop enables rapid, error-free CPI removal by eliminating manual intervention while using structured feedback from the device itself to guide the process efficiently.
3Reliability
If comprehensive CPI detection and removal is performed, then consumer privacy is protected, but the processing time and resources increase
Solution Approach 1:
The system performs preliminary actions by establishing compliance criteria and data structure definitions before the actual CPI removal process begins. Industry standards and personal information identification rules are pre-configured and validated, allowing the removal process to execute efficiently without time-consuming setup or decision-making during the actual removal operation.
Data Source
AI summary
A system and method for flashing one or more electronic devices. A flashing program executed by a server is accessed from a computing device. The one or more electronic devices are received for communication with the computing device. The one or more electronic devices are identified in response to receiving the one or more electronic devices. The one or more electronic devices are flashed to remove the customer private information through the computing device as instructed through the server.


