Parallel Image Encryption Using DCT and Segmentation
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Solution Overview
Problem
Current cloud-based file sharing systems lack secure and efficient methods for encrypting and decrypting digital images, especially in scenarios where privacy and authentication are critical, such as healthcare and defense applications, due to the limitations of existing encryption technologies in handling large data sets and ensuring data integrity.
Innovation Solution
A system and method that utilize a private random phase key and complex conjugate properties for image encryption and decryption, employing discrete Fourier transforms and Fibonacci P-code bit-planes, with parallel processing capabilities in a cloud environment to securely transfer and store images, ensuring privacy and authentication through dual encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing encryption technologies are used for cloud-based file sharing, then data can be stored and transmitted, but security and data integrity are insufficient especially for large data sets
Solution Approach 1:
The patent segments the image data into multiple blocks and processes each block independently through the encryption algorithm. This segmentation approach enhances security by isolating encryption operations and improves handling of large data sets by dividing the workload, while maintaining manageable system complexity through modular processing
Solution Approach 2:
The patent performs preliminary actions by generating authentication tags and encryption keys before actual data transmission and storage. This preliminary encryption and authentication preparation ensures data integrity and security are established upfront, preventing security vulnerabilities during transmission and storage operations
2Reliability
If encryption is performed on large data sets, then data privacy is protected, but processing time and computational resources increase
Solution Approach 1:
By dividing large image data into smaller blocks for independent processing, the system protects data privacy through comprehensive encryption while reducing overall processing time through parallelization of block-level operations, avoiding the bottleneck of sequential processing of entire large data sets
Solution Approach 2:
The patent transforms image data from spatial domain to frequency domain using DCT (Discrete Cosine Transform), changing the parameter representation of the data. This transformation enables more efficient encryption operations on transformed coefficients rather than raw pixel data, reducing computational time while maintaining privacy protection
3Adaptability or versatility
If cloud storage services are used for file sharing, then accessibility and storage capacity are improved, but security vulnerabilities and lack of authentication increase
Solution Approach 1:
The patent implements feedback mechanisms through authentication tags that verify data integrity and authenticity. The system generates and verifies cryptographic authentication information that provides continuous security feedback, ensuring that only authenticated users can access stored files and that data has not been tampered with during cloud storage operations
Solution Approach 2:
The patent introduces cryptographic intermediaries including authentication tags and encryption keys that mediate between the user and cloud storage service. These intermediary security elements verify user authentication and data integrity without requiring the cloud service provider to have access to the actual data contents, maintaining security while enabling cloud accessibility
4Manufacturing precision
If image resolution is maintained at high quality, then image fidelity is preserved, but transmission bandwidth and storage requirements increase
Solution Approach 1:
The patent transforms image data from spatial domain to frequency domain using DCT, changing the parameter representation to concentrate image information into fewer coefficients. This allows selective processing and transmission of only the most significant frequency components, reducing data volume while preserving essential image quality and fidelity
Data Source
AI summary
Disclosed are systems and methods to encrypt an image for secure image transmission and parallel decryption using resources from a networked environment. Upon reception of encrypted data from the mobile user, the data can be decrypted by transforming the data, decrypting the transformed data, and inversing the transformation. The decrypted data can be sent for storage in a cloud storage.