Autonomous Navigation VIO Root-of-Trust for Attack Detection

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Solution Overview

Problem

Cyber-attacks targeting sensor data in autonomous vehicles corrupt navigation systems, leading to unreliable control algorithms and navigation data.

Innovation Solution

Implementing Replay-Attack Detection Using Pose Validation and GPS Spoofing Detection techniques, augmented with root-of-trust hardware, to secure sensor data integrity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If sensor data is used for autonomous navigation, then navigation functionality is enabled, but the system becomes vulnerable to cyber-attacks and sensor data corruption

Engineering Contradiction:

Improvenavigation functionalityVSAvoidsensor data integrity

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent introduces an intermediary validation system that sits between the sensor data input and the navigation control algorithm. This intermediary layer uses pose validation techniques to verify the authenticity and integrity of sensor data before it reaches the navigation system, thereby enabling navigation functionality while protecting against cyber-attacks and data corruption

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements feedback mechanisms where the system continuously monitors sensor data for anomalies and validates pose information against expected patterns. When deviations or attacks are detected, the feedback loop triggers alarm signals and adjusts the navigation system accordingly, maintaining reliability while preserving navigation functionality

Inventive Principle:

Principle #23Feedback

2Reliability

If attack detection systems are implemented, then sensor data integrity is protected, but system complexity increases

Engineering Contradiction:

Improvesensor data integrityVSAvoiddetection system structure

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the attack detection system into modular components: pose validation modules, anomaly detection algorithms, and alarm generation units. Each component performs a specific function and can be independently configured, which protects sensor data integrity while managing system complexity through modular architecture

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial validation actions by focusing detection efforts on critical pose parameters rather than validating all sensor data comprehensively. This selective approach maintains sensor data integrity for navigation-critical information while reducing overall system complexity

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12438890B2Attack detection and countermeasures for autonomous navigation

Publication Date: 2025.10.07 MORGAN STATE UNIVERSITY

AI summary

Autonomous navigation cyber-attack detection and/or avoidance techniques include visual and inertial odometry (VIO) algorithms to provide a root-of-trust during navigation, VIO algorithms that cross-validate navigation parameters using IMU and visual data, and hardware-dependent attack survival mechanisms that support autonomous systems during an attack.