Autonomous Vehicle Network Attack Detection Using ECU Transmit Windows
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Solution Overview
Problem
Autonomous vehicles face challenges in detecting and preventing malicious attacks on their in-vehicle communication networks, which can compromise safety by allowing unauthorized control of critical components.
Innovation Solution
Implementing distributed and centralized approaches using hardware security logic to detect flooding and suspension attacks by managing transmission intervals and analyzing voltage fingerprints, while neutralizing malicious messages and replacing compromised components with standby units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security logic is implemented to detect and prevent malicious attacks on the in-vehicle network, then the security and reliability of the autonomous vehicle is improved, but the complexity of the system increases due to additional hardware security logic and monitoring mechanisms
Solution Approach 1:
The patent implements transmit windows and transmit intervals that pre-establish time-bound rules for message transmission. Each ECU is allocated specific time windows during which it can transmit messages, and these intervals are configured in advance. This preliminary structuring of transmission rights allows the security logic to automatically detect attacks (flooding or suspension) by monitoring whether ECUs transmit within their allocated windows, without requiring complex real-time analysis of message content or sources.
Solution Approach 2:
The security logic is designed to autonomously monitor transmission patterns and detect security threats without external intervention. The system self-manages the detection of flooding attacks (when an ECU transmits excessive messages outside its transmit window) and suspension attacks (when an ECU fails to transmit within its allocated window). This self-service capability reduces the need for additional external security systems while maintaining high reliability.
2Measurement precision
If transmit windows and intervals are enforced to detect flooding and suspension attacks, then the detection accuracy is improved, but the transmission time and latency of authentic messages may increase due to the structured time-based control
Solution Approach 1:
The patent implements periodic transmit intervals with structured windows for message transmission. Each ECU operates on a predetermined schedule, transmitting messages at regular intervals within its allocated time windows. This periodic structure enables the security logic to efficiently detect anomalies (messages outside windows indicate flooding or suspension attacks) while ensuring that authentic messages are transmitted systematically without excessive delays.
Solution Approach 2:
The system dynamically adjusts message transmission timing based on the transmit window structure. ECUs transmit messages as soon as their allocated window opens, minimizing latency for authentic communications. The dynamic nature of the window-based system allows flexible accommodation of different ECU communication needs while maintaining detection accuracy through consistent temporal boundaries.
Data Source
AI summary
Systems, methods, computer-readable storage media, and apparatuses to provide active attack detection in autonomous vehicle networks. An apparatus may comprise a plurality of electronic control units communicably coupled by a network, and logic, at least a portion of which is implemented in hardware, the logic to: receive an indication from a first electronic control unit (ECU) of the plurality of ECUs specifying to transmit a first data frame via the network, determine, based on a message identifier (ID) of the first ECU, whether a transmit window for the first ECU is open, and permit the first ECU to transmit the first data frame via the network based on a determination that the transmit window for the first ECU is open.