Automatic Hardware Speculation Suppression in Sensitive Code Blocks
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Solution Overview
Problem
Existing software programs face challenges in balancing the efficiency of hardware speculative execution with the security of sensitive data, as global suppression of speculative execution hinders processing capabilities and increases runtime, while widespread application of speculative load hardening techniques undermines security measures.
Innovation Solution
Implement localized detection and suppression of hardware speculative execution based on the presence of speculative load hardening indicators and environmental security, allowing selective execution in secure environments and suppression in insecure ones, thereby maintaining optimal processing speeds and security for sensitive data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If global suppression of speculative execution is implemented, then security of sensitive data is improved, but processing efficiency deteriorates and runtime increases
Solution Approach 1:
The patent segments the code into basic blocks and applies speculative execution suppression selectively to specific blocks containing sensitive data, rather than globally suppressing speculation across the entire program. This allows secure blocks to benefit from speculation while insecure blocks maintain security, resolving the contradiction between security and efficiency.
Solution Approach 2:
The patent implements local quality by applying different execution policies to different parts of the code. Basic blocks identified as containing sensitive data through static analysis receive speculative suppression, while other blocks continue to execute speculatively. This localized approach maintains overall processing efficiency while protecting specific sensitive regions.
2Reliability
If speculative load hardening techniques are widely applied, then security measures are strengthened, but processing speed deteriorates
Solution Approach 1:
The patent applies speculative load hardening partially rather than excessively. Through static analysis, it identifies only those basic blocks that actually contain sensitive data and applies suppression only to those blocks. This partial application maintains security for critical sections while avoiding the performance penalty of applying hardening techniques throughout the entire program.
3Productivity
If hardware speculative execution is enabled, then processing efficiency is improved, but security risks increase
Solution Approach 1:
The patent introduces static analysis as an intermediary mechanism that examines code structure and identifies basic blocks containing sensitive data before execution. This intermediary analysis enables the system to make informed decisions about where to apply speculative suppression, balancing the benefits of speculation with security requirements without manual intervention.
Data Source
AI summary
In some implementations, the device may include detecting a speculative load hardening indicator in a first block of code. In addition, the device may include selectively suppressing hardware speculative execution for instructions in the first block of code associated with the detected speculative load hardening indicator.


