Decentralized Intrusion Detection System for Vehicle Networks
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Solution Overview
Problem
Current intrusion detection systems (IDS) for vehicles are costly to deploy and update, require extensive integration with various electronic control units (ECUs), and lack the ability to automatically discover components or dynamically provide services to newly connected components, as well as failing to utilize service-oriented architecture.
Innovation Solution
A decentralized IDS system that employs agents within ECUs to capture and send raw data to a centralized IDS, allowing for dynamic selection of data types and amounts sent, automatic discovery of new components, and flexible operational modes, thereby reducing the need for hardcoding or rewiring and enabling scalable and efficient intrusion detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current IDS systems are integrated with multiple ECUs and hardwired into the vehicle network, then intrusion detection coverage is improved, but deployment cost and system complexity increase significantly
Solution Approach 1:
The patent introduces a gateway as an intermediary component that mediates between the external network and the vehicle's internal network. The gateway captures intrusion detection data from network traffic passing through it and forwards relevant information to ECUs, eliminating the need for direct integration between IDS and multiple ECUs. This reduces system complexity while maintaining detection coverage.
Solution Approach 2:
The patent extracts the IDS functionality from being distributed across multiple ECUs and consolidates it into a separate gateway unit. The gateway independently performs intrusion detection by analyzing network traffic, and only sends alerts or relevant data to ECUs when intrusions are detected. This separation reduces the integration burden on the vehicle network.
2Speed
If IDS components are included in each ECU unit, then real-time intrusion detection capability is improved, but deployment and update costs increase
Solution Approach 1:
The gateway serves as an intermediary that performs the heavy lifting of intrusion detection analysis. Instead of embedding full IDS capabilities in each ECU, the gateway analyzes traffic and communicates with ECUs only when necessary. This approach maintains real-time detection while significantly reducing manufacturing and update costs.
Solution Approach 2:
The patent implements a centralized IDS configuration that can be replicated or updated in the gateway unit. When intrusion detection patterns or rules need updating, changes are made centrally in the gateway rather than requiring updates to multiple ECU units. This copying approach maintains detection effectiveness while reducing deployment and maintenance costs.
3Reliability
If traditional IDS systems are deployed in vehicles, then intrusion detection functionality is provided, but adaptability to new components and dynamic service provision is lost
Solution Approach 1:
The patent implements dynamic service provision where the gateway can adaptively adjust intrusion detection parameters, data collection frequency, and communication with ECUs based on real-time conditions. The system dynamically discovers new components on the network and automatically adjusts its detection strategies, providing both reliability and adaptability.
Solution Approach 2:
The system incorporates feedback mechanisms where ECUs can report their status and capabilities to the gateway, and the gateway adjusts its intrusion detection behavior accordingly. This feedback loop enables the system to adapt to new components and changing vehicle conditions while maintaining effective intrusion detection functionality.
Data Source
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AI summary
A system and method for of detecting an intrusion into an in-vehicle network includes collecting, by one or more agents in a respective one or more electronic control devices (ECUs) (250) data relevant to intrusion detection; sending the data, by the one or more agents, to an intrusion detection system (IDS); and identifying the intrusion, by the IDS, based on the data.