Electronic Scrap Erasure via Dual-Security Mechanism
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Solution Overview
Problem
The challenge of securely and efficiently erasing information from electronic scrap is hindered by the lack of effective technologies and industry standards in China, leading to resource waste and environmental pollution, with existing methods often failing to completely remove data, compromising both security and cost efficiency.
Innovation Solution
A dual-security mechanism is proposed, incorporating a feature data case matching module, an information erasure and recovery evaluation module, and an erasure solution adjustment and native system recovery module, which identifies storage medium and firmware features to generate an optimal erasure solution, evaluates the erasure effect, and adjusts the solution until it meets security standards, ensuring comprehensive data removal and system recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data overwriting is performed multiple times to ensure complete erasure, then information security is improved, but processing time and operational complexity increase
Solution Approach 1:
The system dynamically adjusts the erasure method based on storage medium type and data sensitivity. For example, it selects between single-pass overwriting for less sensitive data and multi-pass overwriting for highly sensitive data, optimizing the balance between security and processing time rather than applying a fixed multi-pass approach to all cases
Solution Approach 2:
The system changes erasure parameters such as overwrite count, pattern complexity, and verification thresholds based on the specific storage medium characteristics and security requirements. This allows the erasure process to be adapted to each case, reducing unnecessary processing time while maintaining required security levels
2Reliability
If physical destruction or chemical corrosion is used to completely erase information, then information security is improved, but the storage medium is destroyed and cost efficiency deteriorates
Solution Approach 1:
The system changes the erasure approach based on the recoverability requirements and medium value. For valuable storage media where data security is critical but medium preservation is desired, it uses software-based overwriting with configurable passes. For cases where complete irrecoverability is needed and medium destruction is acceptable, it employs physical destruction methods, thus optimizing cost-efficiency based on specific requirements
3Ease of operation
If standard overwriting methods are used without considering storage medium features, then operational simplicity is maintained, but erasure effectiveness deteriorates
Solution Approach 1:
The system automatically detects storage medium features such as type, capacity, and characteristics, then self-configures the appropriate erasure parameters without requiring manual intervention. This maintains operational simplicity while ensuring the erasure method is optimized for the specific medium, thereby improving erasure effectiveness
Solution Approach 2:
The system automatically adjusts erasure parameters based on detected storage medium features, changing overwrite patterns, pass counts, and verification methods to match the specific characteristics of each medium, thus maintaining both simplicity and effectiveness
4Productivity
If information erasure is performed without recovery verification, then processing speed is maintained, but security assurance deteriorates
Solution Approach 1:
The system implements automated verification mechanisms that check whether data has been successfully erased by attempting to recover it after the erasure process. This feedback loop confirms erasure effectiveness without significantly impacting overall processing speed, as the verification is performed efficiently and only on critical data portions
Data Source
AI summary
According to aspects of the inventive concepts, provided is a method for erasing information based on a dual-security mechanism. A storage medium feature database, an information erasure feature database, and a firmware system feature database are built to match cases for to-be-erased electronic scrap. An erasure solution and a native system data package are generated based on the matching results. The information is erased and an erasure result is evaluated; and the information is recovered on the erased electronic scrap, and a recovery result is evaluated, to implement comprehensive double security evaluation. The information erasure validity of the electronic scrap is checked based on the evaluation results. If an erasure result is invalid, erasure solutions are corrected online based on the evaluation result, until the erasure result is valid and the electronic scrap with a native system recovered is obtained.