Software Component Metadata for Secure Safety-Critical Compilation
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Solution Overview
Problem
Existing methods for processing software components in development environments, particularly in the automotive domain, face challenges in efficiently handling domain-specific information for ensuring safety integrity and resistance to side-channel attacks, while accommodating varying hardware configurations and security requirements.
Innovation Solution
The method involves providing domain-specific information as meta-information to supplement software components, which is then processed through a development environment, including a compiler system like LLVM, to enhance security and integrity by generating code that resists side-channel attacks and meets safety standards such as ASIL, and includes features for memory protection and redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If domain-specific information is provided as meta-information to supplement software components, then security and integrity are enhanced, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by providing domain-specific information as meta-information during the compilation process before the software component is executed. The compiler's frontend analyzes source code and attaches metadata (such as safety integrity levels, side-channel attack resistance requirements, and memory protection needs) to intermediate representations. This allows security and integrity measures to be built into the software component during development rather than added later, enhancing reliability without requiring complex runtime processing.
Solution Approach 2:
The patent uses an intermediary approach by introducing a compiler system with frontend and backend components as mediators between the source code and the final executable. The frontend processes domain-specific information and passes it through an intermediate representation to the backend, which generates the final code with embedded security measures. This intermediary processing structure manages complexity by organizing the transformation process into distinct stages, each handling specific aspects of security and integrity.
2Reliability
If code is generated to resist side-channel attacks and meet safety standards, then reliability is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent applies parameter changes by transforming domain-specific requirements into concrete compilation parameters. The compiler's frontend identifies safety integrity levels (such as ASIL grades) and security requirements (such as side-channel attack resistance) from the source code metadata, then passes these as parameters to the backend. The backend uses these parameters to generate code with appropriate security measures, such as constant-time algorithms for cryptographic operations or memory access patterns that prevent timing attacks. This systematic parameter transformation ensures manufacturing precision in code generation while meeting reliability requirements.
3Productivity
If domain-specific information is passed to compiler backend, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the compiler into distinct frontend and backend components with clear interfaces. The frontend handles domain-specific information extraction, metadata generation, and intermediate representation creation. The backend receives this structured information and generates the final executable code. This segmentation allows productivity improvement by enabling independent development and optimization of each component, while managing complexity through well-defined boundaries and interfaces between segments.
Solution Approach 2:
The patent uses universality by designing the compiler's intermediate representation to universally accommodate various domain-specific information types. The same intermediate representation structure can carry safety integrity level metadata, side-channel attack resistance requirements, memory protection specifications, and other domain-specific parameters. This universal structure allows the compiler to handle diverse requirements through a single cohesive framework, improving productivity by avoiding multiple specialized processing paths while managing complexity through standardization.
Data Source
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AI summary
Method, for example a computer-implemented method, for processing data associated with a software component for a product, comprising: providing first information characterizing at least one aspect associated with the software component, for example specific to a domain of the product, and, optionally, supplementing the software component with the first information.