Diversity Compilation for Cloud Security Version Pool
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Solution Overview
Problem
In cloud computing, existing software version management methods lag behind network attack behaviors, leading to inadequate active defense capabilities against unknown vulnerabilities and backdoors, which are exacerbated by the homogenization of software and hardware components in cloud environments.
Innovation Solution
The method involves generating software versions through diversity compilation to create heterogeneous functional equivalents, forming a software version pool that can be dynamically deployed on network elements, thereby transforming unknown security threats into joint probability problems and implementing active protection independent of attack features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software version replacement is performed to address security vulnerabilities, then system security is improved, but system stability and operational continuity deteriorate due to version changes
Solution Approach 1:
The system performs preliminary actions by pre-compiling multiple diverse software versions and maintaining a version pool before security threats materialize. When a vulnerability is detected or suspected, the system can immediately switch to a different pre-prepared version without requiring compilation or extensive testing, thus maintaining both security and stability.
Solution Approach 2:
The system changes parameters by varying the software version configuration rather than modifying the underlying code structure. Diversity compilation generates versions with different parameter configurations (compilation flags, optimization levels, feature sets), allowing the system to switch between versions with the same interface and functionality but different security characteristics.
2Ease of operation
If homogeneous software versions are used across cloud services, then system management and deployment are simplified, but the impact scope of vulnerabilities and backdoors is widened
Solution Approach 1:
The system applies local quality by introducing diversity at the software version level while maintaining uniformity in interface and functionality. Each software version has unique local characteristics (different compilation parameters, optimization settings, feature configurations) that affect security properties, while the overall system maintains manageable consistency through standardized interfaces.
Solution Approach 2:
The system uses composite materials by combining multiple software versions with different diversity compilation characteristics into a unified version pool. This composite approach allows the system to leverage the strengths of different versions while mitigating their individual weaknesses, creating a resilient software ecosystem.
3Device complexity
If software version replacement lags behind network attack behaviors, then system complexity and update frequency are reduced, but active defense capability deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-compiling multiple diverse software versions and maintaining a version pool before security threats materialize. When a vulnerability is detected or suspected, the system can immediately switch to a different pre-prepared version without requiring compilation or extensive testing, thus maintaining both security and stability.
Solution Approach 2:
The system introduces dynamics by enabling flexible, on-demand switching between software versions based on security conditions. The version pool allows the system to dynamically adapt to evolving threats by selecting and deploying appropriate versions without rigid version management cycles, thereby enhancing active defense capability while keeping complexity manageable.
Data Source
AI summary
Provided are a security protection method and apparatus. The security protection method includes: generating software versions based on diversity compilation, and constructing a software version pool using the software versions as heterogeneous functional equivalents; and dynamically deploying a software version on a network element according to the software version pool.