Hash Value Generator for Captured-Image Data Authenticity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in ensuring the authenticity of captured-image data without increasing costs, particularly in preventing data falsification during transmission.
Innovation Solution
An information processing system that includes an array sensor generating a hash value from captured-image data and encrypting it, along with a processing system that decrypts and compares the hash values to determine if the data has been falsified.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If enhanced security measures are implemented in all transmission lines to prevent captured-image data falsification, then data authenticity is improved, but cost increases
Solution Approach 1:
The patent extracts only the critical captured-image data from the transmission system and applies enhanced security measures specifically to this data through hash value generation and encryption, rather than securing all transmission lines. This selective approach maintains data authenticity while avoiding the cost increase of comprehensive security implementation across the entire system.
Solution Approach 2:
The patent transforms the captured-image data into a different parameter form (hash value) through cryptographic processing. This parameter change enables efficient verification of data authenticity without requiring enhanced security infrastructure for the entire transmission system, thus resolving the contradiction between reliability and cost.
2Ease of operation
If hash value generation is performed after image sensor output, then processing flexibility is improved, but data security deteriorates because the output may leak before hashing
Solution Approach 1:
The patent performs hash value generation immediately at the image sensor output stage, before the data can be transmitted or stored elsewhere. This preliminary action ensures that the raw sensor output is converted to a secure hash format first, preventing any potential leakage of unhashed data while maintaining processing flexibility through immediate cryptographic transformation.
Solution Approach 2:
The patent merges the hash value generation function directly with the image sensor processing pipeline, combining the data acquisition and cryptographic processing into a unified flow. This integration ensures that hashing occurs at the earliest possible moment without creating separate vulnerable data paths, resolving the contradiction between operational flexibility and data security.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively ensures the authenticity of captured-image data without increasing costs, by generating and comparing hash values to detect any falsification, thereby enhancing security and reliability.
Implementation Method 1
a pixel array that includes a plurality of one-dimensionally or two-dimensionally arranged pixels each including a light-receiving element that receives visible light or non-visible light
Data Source
AI summary
An information processing system includes an array sensor with a pixel array having a plurality of one-dimensionally or two-dimensionally arranged pixels including a light-receiving element that receives visible or non-visible light, a hash value generator that generates a hash value from captured-image data based on a photoelectric conversion performed by the pixel array, and an encryption processing section that performs processing of encrypting the hash value; an acquisition section that acquires the captured-image data and the encrypted hash value; a decryption processing section that decrypts the acquired encrypted hash value; a hash value calculator that calculates a hash value from the acquired captured-image data; a hash value comparing section that compares the hash value obtained by the decryption with the calculated hash value; and a falsification determination section that determines whether the acquired captured-image data has been falsified, based on a comparison result of the hash values.