Selective Memory Clearing for Sensitive Application Data

The patent applies local quality by selectively clearing only the memory regions that contain sensitive data rather than clearing the entire memory space. The system identifies sensitive data locations through metadata tags associated with specific memory regions, and only those regions are cleared when process termination or context switching occurs. This targeted approach maintains security while significantly reducing the performance overhead compared to full memory clearing operations.

The patent segments the memory space into different regions based on data sensitivity. Each memory region is tagged with metadata indicating whether it contains sensitive data requiring clearance. This segmentation allows the memory manager to distinguish between sensitive and non-sensitive regions, applying clearance operations only where necessary. The segmentation principle enables efficient selective clearing that balances security requirements with system performance.

The system implements local quality by differentiating between memory regions based on their sensitivity characteristics. Metadata tags are attached to specific memory regions to indicate whether they contain sensitive data. The memory manager uses this information to apply appropriate clearance operations only to sensitive regions, avoiding unnecessary operations on non-sensitive data and reducing overall system overhead.

The patent implements self-service by enabling applications to self-identify and self-manage their sensitive data requirements through metadata tags. Applications mark their own memory regions with appropriate sensitivity indicators, and the memory manager automatically uses these tags to determine clearance requirements. This eliminates the need for centralized manual configuration and reduces system management complexity.