Vehicle Incident Response Using Dependency-Based Risk Scoring
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Solution Overview
Problem
Vehicle intrusion detection systems struggle to accurately assess the impact of malicious attacks on complex electronic systems, often relying on remote operations that are delayed and inadequate for mobile platforms with diverse interconnected functions.
Innovation Solution
A risk-score-based mechanism that monitors vehicle systems to detect attacks, generates a dependency list of interacting components, and determines a risk score using a database or policy to inform immediate and effective responses, such as disconnecting communication links or alerting users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional intrusion detection systems are used in vehicles, then attack detection capability is provided, but response time is delayed due to remote operations
Solution Approach 1:
The system pre-establishes dependency relationships between vehicle components and pre-defines response actions for different risk levels. When an attack is detected, the pre-computed dependency list and predetermined responses enable immediate local execution without waiting for remote analysis, thus reducing response time while maintaining detection accuracy
Solution Approach 2:
The patent introduces an intermediary risk score calculation mechanism that operates locally in the vehicle. This intermediary system processes attack information and generates risk scores using pre-stored dependency data, serving as a bridge between detection and response without requiring direct remote operations, thereby accelerating response time
2Measurement precision
If comprehensive monitoring of all vehicle systems is implemented, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the vehicle's electronic systems into modular components and establishes dependency relationships between them. By dividing the monitoring scope into discrete, manageable segments with defined relationships, the system achieves comprehensive monitoring without overwhelming complexity, as each segment can be analyzed independently using the dependency list
Solution Approach 2:
The patent transforms the monitoring approach by changing from direct comprehensive analysis of all systems to indirect monitoring through risk score parameters. The system monitors system states by tracking changes in risk scores derived from dependency relationships, simplifying the monitoring mechanism while maintaining comprehensive coverage through parameter-based assessment
3Reliability
If risk-based selective response is implemented, then response effectiveness is improved, but additional processing requirements increase system complexity
Solution Approach 1:
The system applies local quality by tailoring response actions to the specific risk level and affected components identified through the dependency list. Instead of uniform responses, the system selects and executes appropriate responses based on the local characteristics of the attack, improving effectiveness while keeping processing requirements manageable through targeted rather than comprehensive processing
Data Source
AI summary
Systems, methods, and other embodiments described herein relate to improving incident response within a vehicle environment. In one embodiment, a method includes, responsive to detecting an attack on a threatened component of a computing system, gathering information about the threatened component, including at least a dependency list that specifies related components to the threatened component. The method includes determining a risk score for the attack according to a risk level associated with the attack, a risk type of the threatened component, and combined risks associated with compromising the related components. The method includes providing a report specifying information about the attack, including at least the risk score.