CATARC Software Testing (Tianjin) Co., Ltd (20240264929). METHOD, SYSTEM AND DEVICE FOR GENERATING TEST CASE FOR AUTOMOTIVE CYBERSECURITY DETECTION simplified abstract
Contents
METHOD, SYSTEM AND DEVICE FOR GENERATING TEST CASE FOR AUTOMOTIVE CYBERSECURITY DETECTION
Organization Name
CATARC Software Testing (Tianjin) Co., Ltd
Inventor(s)
METHOD, SYSTEM AND DEVICE FOR GENERATING TEST CASE FOR AUTOMOTIVE CYBERSECURITY DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240264929 titled 'METHOD, SYSTEM AND DEVICE FOR GENERATING TEST CASE FOR AUTOMOTIVE CYBERSECURITY DETECTION
The abstract of the patent application describes a method, system, and device for generating test cases for automotive cybersecurity detection, specifically for regulatory purposes in the automotive industry. The innovation involves constructing attack vectors, reducing dimensionality through principal component analysis, and analyzing risks through cluster and chi-square analysis to create a set of risks for testing.
- Attack vectors are constructed by splitting impact parameters to determine the most significant contribution to automotive risks.
- Dimensionality reduction is achieved through principal component analysis for faster and more efficient analysis.
- Risks are analyzed and grouped into classes using cluster and chi-square analysis to form a risk set.
- Test cases and attack paths are then constructed based on the risk set for detection purposes.
- Potential Applications:
- Automotive cybersecurity testing and authentication - Regulatory compliance in the automotive industry - Development of secure automotive systems
- Problems Solved:
- Efficient generation of test cases for automotive cybersecurity detection - Identification of key risks in automotive systems - Streamlining the cybersecurity development flow in the automotive industry
- Benefits:
- Enhanced cybersecurity measures in automobiles - Improved regulatory compliance - Faster and more accurate detection of security vulnerabilities
- Commercial Applications:
"Automotive Cybersecurity Test Case Generation System: Enhancing Security Measures in the Automotive Industry"
- Questions about Automotive Cybersecurity Test Case Generation:
- 1. How does the method of constructing attack vectors contribute to improving automotive cybersecurity?
- Questions about Automotive Cybersecurity Test Case Generation:
The method of constructing attack vectors helps identify the most significant risks in automotive systems, allowing for targeted testing and detection.
- 2. What are the advantages of using cluster and chi-square analysis to analyze risks in automotive cybersecurity?
Cluster and chi-square analysis help categorize risks and create a comprehensive risk set for developing effective test cases.
Original Abstract Submitted
the disclosure provides a method, a system and a device for generating test case for automotive cybersecurity detection, which are mainly for regulatory detection of automotive cybersecurity, and applicable to automobile security detection and authentication based on an automotive cybersecurity development flow. the present disclosure constructs an attack vector by splitting an impact parameter of a risk to determine a vector value that contributes most to an automobile risk. the attack vector is dimensionally reduced by principal component analysis, so that the analysis is fast and operable. it constructs a key impact risk of each class by cluster analysis and chi-square analysis in each class, to form a risk set. an attack path and a test case are constructed based on a risk set, so as to construct test case to be detected.
