Metadata Tag Enforcement for Malicious Code Prevention
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Solution Overview
Problem
Current computer security measures are inadequate in preventing malicious code execution due to the intermingling of data and executable instructions in memory, allowing attackers to inject code by disguising it as data, and existing solutions focus on post-attack detection rather than prevention.
Innovation Solution
A system that uses metadata to enforce security policies by associating memory locations with metadata tags, ensuring that instructions comply with security policies through a tag processing hardware and policy processor, which checks metadata tags for compliance before executing instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If security monitoring is performed by detecting patterns after execution, then detection capability is improved, but prevention capability deteriorates
Solution Approach 1:
The patent assigns metadata tags to data and instructions before they are executed or processed. This preliminary tagging allows the system to establish security policies and constraints in advance, enabling prevention rather than just detection. The metadata is attached during data creation or storage, so that when the data flows through the system, security checks can occur proactively at each stage.
2Reliability
If metadata processing is performed for every data access, then security enforcement is improved, but processing efficiency deteriorates
Solution Approach 1:
The patent segments metadata processing into distinct components: metadata assignment, constraint definition, and pattern resolution. The pattern resolution component specifically handles the matching of metadata patterns to concrete values, which is optimized to reduce processing overhead. This segmentation allows each component to be optimized independently, balancing security enforcement with processing efficiency.
Solution Approach 2:
The system resolves metadata patterns into concrete binary representations in advance, before actual data processing occurs. This preliminary resolution creates a mapping that can be quickly referenced during runtime, avoiding the need for complex pattern matching during every data access operation.
3Measurement precision
If metadata labels are resolved to binary representations in real-time, then security checking accuracy is improved, but processing time deteriorates
Solution Approach 1:
The patent resolves metadata patterns into concrete binary representations in advance, storing the mappings for later use. This preliminary resolution eliminates the need for time-consuming real-time pattern matching during security checks, while maintaining accurate pattern-to-value correspondence through the pre-computed mappings.
4Reliability
If security policies are enforced at hardware level, then security effectiveness is improved, but system complexity deteriorates
Solution Approach 1:
The patent introduces metadata as an intermediary layer between the hardware and security policies. Instead of embedding complex security logic directly in hardware, the system uses metadata tags and patterns as a中介 that translates high-level security requirements into hardware-enforceable constraints. This intermediary approach maintains security effectiveness while avoiding direct hardware complexity.
Data Source
AI summary
Systems and methods for efficient metadata processing, for example, by resolving input patterns into binary representations ahead of time. In some embodiments, a plurality of input patterns may be identified, wherein an input pattern of the plurality of input patterns comprises a metadata label. A plurality of respective values may be selected for a plurality of variables, wherein the plurality of variables comprise a variable corresponding to the metadata label of the input pattern. A binary representation of the metadata label may be obtained based on the respective value of the variable.