Vehicle Cyberattack Notification Mode Based on Passenger State
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional techniques for vehicles fail to provide an appropriate notification to passengers about cyber attacks, considering the depth of intrusion and the passenger's state, which can lead to unnecessary or inadequate alerts.
Innovation Solution
A notification device that obtains the intrusion depth of a cyber attack and the passenger's state, determining a tailored notification mode to inform passengers about the attack, using various notification means based on the passenger's state and the vehicle's state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional notification techniques are used for cyber attacks, then all passengers are notified uniformly, but this causes unnecessary alerts when intrusion depth is shallow or passengers are in inappropriate states
Solution Approach 1:
The notification system applies different notification strategies to different passengers based on their individual states (sleeping, reading, talking) and different intrusion depths. Instead of uniform notification, the system tailors the notification approach to each passenger's situation, making the notification quality localised and context-appropriate.
Solution Approach 2:
The notification system dynamically adjusts its behavior based on real-time conditions. The mode determiner continuously evaluates passenger states and intrusion depths to determine the appropriate notification mode, making the system adaptive and flexible rather than static and rigid.
2Reliability
If notification is provided for all cyber attacks regardless of intrusion depth, then security awareness is maintained, but this causes unnecessary alerts for shallow intrusions
Solution Approach 1:
The system changes the notification parameter (whether to notify or not) based on the intrusion depth parameter. By establishing threshold values for intrusion depth, the system dynamically adjusts notification behavior to match the severity of the threat, avoiding unnecessary alerts for minor intrusions while maintaining security awareness for serious threats.
Solution Approach 2:
The system uses feedback from the intrusion detection mechanism to adjust notification behavior. The intrusion depth obtained from security analysis feeds back to the mode determiner, which then decides the appropriate notification mode, creating a closed-loop system that adapts to threat levels.
3Ease of operation
If notification mode is determined based on passenger state and intrusion depth, then appropriate targeted notification is achieved, but this increases system complexity
Solution Approach 1:
The notification system is segmented into distinct functional modules: intrusion depth obtainer, passenger state obtainer, mode determiner, and notification controller. Each module handles a specific aspect of the notification process, making the overall complex system manageable through functional segmentation and clear separation of concerns.
Solution Approach 2:
The mode determiner acts as an intermediary between the intrusion detection system and the notification system. It receives input from both passenger state and intrusion depth analysis, processes this information, and determines the appropriate notification mode, serving as a mediator that translates complex inputs into actionable notification decisions.
Data Source
AI summary
A notification device includes: an intrusion depth obtainer that obtains the intrusion depth of a cyber attack on a moving body (vehicle); a passenger state obtainer that obtains the passenger state of a passenger in the moving body; a mode determiner (passenger notification mediator) that determines a notification mode based on the obtained intrusion depth and the obtained passenger state; and a notification controller that causes a security notification to be output, where the security notification is for notifying, in accordance with the determined notification mode, the passenger that the cyber attack was made.