Sensor Data Segmentation for Secure Outsourced Object Processing
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Solution Overview
Problem
Robotic devices face challenges in processing sensor data securely when outsourcing tasks to external data processing facilities, as this exposes sensitive information to potential attacks and compromises data protection.
Innovation Solution
The method involves semantically segmenting sensor data into portions, dividing processing tasks into subtasks, and outsourcing each subtask to ensure that only partial information about objects is processed externally, using techniques like Shamir's Secret Sharing to distribute calculations securely across multiple facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data is outsourced to external data processing facilities, then processing resources are relieved and productivity is improved, but data security deteriorates and the system becomes vulnerable to attacks
Solution Approach 1:
The patent divides sensor data into multiple segments and distributes them to different external data processing facilities. Each facility receives only a portion of the data (e.g., different image regions or sensor data subsets), making it impossible for any single facility to access complete information about objects. This segmentation approach maintains processing productivity while improving data security through distributed processing.
2Measurement precision
If complete sensor data is transmitted to external facilities, then processing accuracy is improved, but information exposure increases and data protection is compromised
Solution Approach 1:
The patent segments sensor data into multiple portions and assigns different segments to different external processing facilities. Each facility processes only its assigned segment, ensuring that no single facility obtains complete information about any object. This approach balances processing accuracy needs with information protection by distributing computational tasks while limiting data exposure.
3Reliability
If data is divided into multiple subtasks and distributed, then data security is improved, but processing complexity increases
Solution Approach 1:
The patent implements data segmentation into multiple subtasks that can be independently processed by different external facilities. While this increases the number of processing nodes required, each subtask remains relatively simple and can be executed independently. The segmentation strategy improves data protection by ensuring that no single facility receives complete information, while the modular nature of segmented tasks helps manage processing complexity.
Data Source
AI summary
A method for processing sensor data representing one or more objects. The method includes semantically segmenting the sensor data so that the sensor data are divided into sensor data portions so that, for each of the one or more objects, a respective sensor data portion contains that part of the sensor data that represents the object; ascertaining, for a processing task through which the sensor data are to be processed, a division of the processing task into subtasks comprising at least one subtask to be outsourced, wherein it is ensured that each subtask to be outsourced processes respective sub-data of the sensor data, which sub-data contain, for each sensor data portion, at most a part of the sensor data portion; and outsourcing the at least one subtask to be outsourced.