Multi-Key Homomorphic Encryption for Private Telematic Risk Assessment
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Solution Overview
Problem
Current usage-based insurance systems expose vehicle owners to privacy breaches by transmitting detailed driving behavior data, raising concerns about data leaks and unauthorized access to sensitive information.
Innovation Solution
A system utilizing multi-key homomorphic encryption techniques to encrypt telematic data and predefined policies, allowing computation on encrypted data without decryption, ensuring only authorized parties can access the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If telematic data is transmitted to insurance providers for risk assessment, then accurate risk assessment and personalized insurance policies can be achieved, but privacy of vehicle owners and drivers is compromised
Solution Approach 1:
The patent introduces a computing device as an intermediary between the vehicle and insurance provider. This intermediary performs homomorphic encryption on the telematic data and policies, enabling the insurance provider to conduct risk assessment computations on encrypted data without accessing the plaintext sensitive information. The intermediary thus mediates the data flow to achieve both accurate assessment and privacy protection
Solution Approach 2:
The patent transforms the data from plaintext to ciphertext through homomorphic encryption, changing the state parameter of the data. This parameter change allows the data to maintain its computational utility while becoming inaccessible to unauthorized parties, thereby resolving the contradiction between data usability and privacy protection
2Manufacturing precision
If detailed driving behavior data is collected and analyzed, then fair premium calculations based on actual driving performance can be achieved, but data exposure to unauthorized entities increases
Solution Approach 1:
The computing device acts as a trusted intermediary that handles the encryption and decryption operations. It receives encrypted telematic data from the vehicle and encrypted policies from the insurance provider, performs the necessary computations, and returns the results. This intermediary structure ensures that detailed driving behavior data is never exposed in plaintext to unauthorized entities while still enabling accurate premium calculations
Solution Approach 2:
The patent segments the decryption process into multiple stages with different decryption keys. The vehicle holds a first decryption key that allows partial decryption, while the insurance provider holds a second decryption key for final decryption. This segmentation ensures that no single party can access the complete plaintext data, thereby enhancing data security while maintaining calculation accuracy
3Adaptability or versatility
If telematic data is stored and transmitted across multiple parties, then usage-based insurance functionality can be achieved, but the complexity of secure data management increases
Solution Approach 1:
The computing device is designed as a universal platform that handles multiple functions: receiving encrypted telematic data from vehicles, receiving encrypted policies from insurance providers, performing homomorphic computations, and managing the decryption process. This multi-functional design consolidates the complexity into a single device rather than requiring each party to implement complex encryption systems independently
Solution Approach 2:
The computing device serves as a central intermediary that simplifies the overall system architecture. Instead of requiring direct secure communication channels between all parties (vehicle, insurance provider, third-party services), the intermediary centralizes the encryption/decryption operations, thereby reducing the complexity of secure data management across the distributed system
Data Source
AI summary
This disclosure relates to system and method for preserving privacy of telematic data. The method includes receiving telematic data from a vehicle and a set of predefined policies from an insurance provider. The telematic data and the set of predefined policies are homomorphically encrypted through a multi-key homomorphic encryption technique. The method further includes analyzing the telematic data and the set of predefined policies to obtain an analysis result. The method further includes sharing the analysis result with the vehicle in an encrypted format. The method further includes partially decrypting the analysis result to obtain a partially decrypted result. The method further includes sharing the partially decrypted result to the insurance provider. The method further includes decrypting the partially decrypted result to obtain fully decrypted result in a plain-text format. The fully decrypted result provides risk score information to the insurance provider without revealing sensitive information corresponding to the vehicle.