Homomorphic Encryption with Dummy Data for Environment Tallying
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Solution Overview
Problem
Existing technologies cannot perform statistical processing on encrypted data without decrypting it, limiting the ability to tally encrypted measurement data for each measurement point or area, and compromising user privacy.
Innovation Solution
An information processing apparatus that generates and adds dummy data to measurement and environment data, encrypts the combined data using homomorphic encryption, and transmits it to another vehicle for statistical processing without decryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If statistical processing is performed on encrypted data without decryption, then data confidentiality is maintained, but the ability to tally measurement data for each measurement environment is limited
Solution Approach 1:
Dummy data is generated and integrated with measurement data before encryption occurs. This preliminary integration of dummy data with real data allows the encrypted dataset to contain sufficient information for statistical processing while maintaining confidentiality, as the dummy data provides the necessary structure and volume for tallying operations without revealing actual measurements.
Solution Approach 2:
Dummy data acts as an intermediary element that enables statistical processing on encrypted data. By mixing dummy data with real measurement data before encryption, the system creates a dataset that can be processed statistically without exposing actual measurements, thus mediating between confidentiality requirements and processing capabilities.
2Productivity
If dummy data is added to measurement data, then statistical processing on encrypted data becomes possible, but data structure complexity increases
Solution Approach 1:
Dummy data is designed to have the same structure, format, and characteristics as real measurement data. This homogeneity allows dummy and real data to be mixed together seamlessly before encryption, enabling statistical processing without requiring separate handling or complex differentiation mechanisms, thus reducing overall system complexity despite the addition of dummy data.
3Productivity
If dummy data corresponding to environment data is generated, then measurement data can be tallied for each measurement environment, but processing time and computational resources increase
Solution Approach 1:
Dummy environment data is generated and integrated with real environment data before the encryption and statistical processing stages. This preliminary integration ensures that the dataset contains sufficient information for environment-specific tallying operations, avoiding the need for additional processing steps later and reducing overall processing time despite the added computational work of generating and integrating dummy data.
Data Source
AI summary
An information processing apparatus includes a control unit configured to execute receiving, from a first vehicle, encrypted first data including one or more pieces of measurement data acquired by the first vehicle and one or more pieces of first dummy data that simulates the measurement data, and second data including one or more pieces of environment data each indicating a measurement environment of each piece of the measurement data and one or more pieces of second dummy data that corresponds to the first dummy data and simulates the environment data, and performing statistical processing of each piece of data included in the first data for each measurement environment indicated by each piece of data included in the second data.