Homomorphic Encryption Imaging Module for Privacy Protection
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Solution Overview
Problem
Transmitting image data from home security cameras to external servers poses privacy risks due to potential data leaks, and existing solutions that perform image recognition locally still face threats from malicious access to the image recognition device's RAM.
Innovation Solution
An integrated imaging module with an imaging device and an encryption device using homomorphic encryption, where image data is encrypted within the module, preventing plaintext data from being extracted and processed in a homomorphic encryption space to maintain security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image recognition processing is performed in a home apparatus with a processor and RAM, then image recognition functionality is achieved, but image data may leak from the RAM to malicious actors
Solution Approach 1:
The patent extracts the plaintext image data from the processing pipeline by implementing homomorphic encryption that operates directly on encrypted data. The encryption device converts plaintext image data to ciphertext before processing, and the processor performs neural network operations on the ciphertext without decrypting it, thereby extracting the security vulnerability from the system.
Solution Approach 2:
The patent introduces homomorphic encryption as an intermediary layer between the imaging device and the processor. The encryption device acts as a mediator that transforms image data into an encrypted form that can still be processed by neural networks, while the decryption-resistant properties of the encryption scheme prevent malicious access to the original image data in the RAM.
2Adaptability or versatility
If image data is transmitted from home apparatus to external server, then image recognition processing can be performed, but privacy risks and data leaks occur during transmission
Solution Approach 1:
The patent applies preliminary encryption to image data before it enters the processing pipeline. The encryption device encrypts the image data at the source (home apparatus) using homomorphic encryption, so that only ciphertext is stored in RAM and transmitted. This preliminary security measure prevents privacy risks during transmission and storage without requiring secure communication channels.
Solution Approach 2:
The patent changes the state parameter of image data from plaintext to ciphertext through homomorphic encryption. This parameter change allows the data to maintain its usability for neural network processing while fundamentally altering its security properties - the encrypted form cannot be accessed by malicious actors even if they gain access to the RAM or intercepted during transmission.
3Productivity
If plaintext image data is stored in RAM for processing, then image recognition operations can be performed, but security vulnerabilities arise from potential malicious access
Solution Approach 1:
The patent extracts plaintext image data from the system by implementing end-to-end homomorphic encryption. The encryption device transforms all image data to ciphertext before it enters the RAM, and the processor is configured to perform neural network operations directly on the ciphertext. This extraction eliminates the security vulnerability of storing plaintext in RAM while maintaining processing efficiency through optimized homomorphic operations.
Data Source
AI summary
An aspect of the invention is directed to an imaging module including: an imaging device which converts an input optical image into image data; an encryption device which encrypts the image data by a homomorphic encryption method; and an interface which outputs encrypted image data received from the encryption device.