Trustworthiness Scoring for Automotive Software Security Assessment
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Solution Overview
Problem
Conventional techniques for identifying and analyzing software vulnerabilities in automotive systems are ineffective, leading to frequent software failures and increased maintenance costs due to software patches.
Innovation Solution
A system and method for trustworthiness assessment using modules to process input signals, identify security metrics, determine determinations, and derive trustworthiness scores based on user requirements and security objectives, facilitating a quantifiable overview of software system trustworthiness through an interactive dashboard.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional vulnerability identification techniques (formal verification, static/dynamic analysis, fuzzing) are used, then software security is improved, but software development time and maintenance costs increase due to frequent patches
Solution Approach 1:
The patent applies preliminary action by performing trustworthiness assessment during the software development lifecycle before deployment. The system evaluates security metrics and derives trustworthiness scores in advance, allowing vulnerabilities to be identified and addressed during development rather than requiring frequent post-deployment patches, thus reducing both development time and maintenance costs while improving software security
Solution Approach 2:
The patent implements feedback by continuously monitoring and evaluating security metrics throughout the development process. The system provides feedback through trustworthiness scores that indicate the security status of software components, enabling developers to make informed decisions and improve security without requiring extensive rework or frequent patches later in the lifecycle
2Reliability
If conventional vulnerability analysis techniques are applied, then security risks are identified, but software development efficiency decreases and maintenance costs increase
Solution Approach 1:
The patent applies parameter changes by transforming security assessment from a qualitative process to a quantitative one. The system defines specific security metrics and derives numerical trustworthiness scores, allowing for automated evaluation and comparison of different software components. This quantitative approach improves development efficiency by enabling rapid assessment without sacrificing security risk identification capability
Solution Approach 2:
The patent replaces manual vulnerability analysis with an automated trustworthiness assessment system. The system automatically evaluates security metrics, determines compliance with security objectives, and generates trustworthiness scores without requiring extensive manual inspection, thereby maintaining security risk identification while significantly improving software development efficiency
3Reliability
If software patches are applied frequently to address vulnerabilities, then software security is maintained, but maintenance costs and system complexity increase
Solution Approach 1:
The patent applies preliminary action by identifying and addressing security vulnerabilities during the development phase before deployment. The trustworthiness assessment system evaluates security metrics and identifies issues early, allowing them to be resolved before the software reaches production. This prevents the need for frequent post-deployment patches, reducing both maintenance costs and system complexity while maintaining software security
Data Source
AI summary
There is provided an apparatus suitable for use for facilitating trustworthiness assessment. The apparatus can include a first module and a second module. The first module can be configured to receive at least one input signal which can be processed by the second module to generate one or more output signals. The input signal(s) can be associated with at least one user requirement and/or at least one security objective. The input signal(s) can be processed by manner of identifying at least one security metric associated with at least one security requirement. The security requirement(s) can be based on at least one user requirement and/or at least one security objective, determining a positive determination, a negative determination or an indeterminate determination concerning fulfillment of a security metric in respect of at least one security objective and/or at least one user requirement and deriving at least one trustworthiness score accordingly.