Genetic Data Encryption via Segmentation and Distribution
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Solution Overview
Problem
The rapid advancement in biological sequencing technologies has led to the generation of massive amounts of data that require significant computing power for processing, but this also poses challenges in data transmission and security, particularly over open networks, where data privacy issues and potential hacking risks are significant due to the sensitive nature of genetic and medical information.
Innovation Solution
A system and method for securing, encrypting, transmitting, analyzing, and displaying medical and genomic information by generating public keys, encrypting data, segregating it into subsets, and distributing it across different geographical locations for analysis, while ensuring secure access and purging the data after a predetermined time period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transmitted over open networks between parallel processing computers, then processing speed and computational capability are improved, but data security and privacy protection deteriorate
Solution Approach 1:
The patent segments sensitive genetic data into multiple encrypted portions and distributes them across different processing computers. No single computer holds the complete unencrypted data, reducing security risks while maintaining parallel processing capabilities. The data is divided into fragments that require recombination with encryption keys to become useful.
Solution Approach 2:
The patent introduces encryption algorithms and secure communication protocols as intermediaries between data transmission and processing. These intermediary layers protect data during network transmission by transforming it into encrypted form that cannot be intercepted or understood by unauthorized parties.
2Object-affected harmful factors
If encryption is applied to protect data during transmission, then data security is improved, but processing efficiency and transmission speed deteriorate
Solution Approach 1:
The patent applies encryption to data before transmission occurs, preparing it in advance for secure transport. By encrypting data prior to network transmission, the system ensures security is built into the transmission process itself rather than adding security layers during processing, minimizing efficiency losses.
Solution Approach 2:
The patent employs advanced encryption algorithms that optimize the balance between security strength and processing overhead. By carefully selecting encryption parameters and algorithm complexity, the system achieves adequate security protection while minimizing the computational burden and time required for encryption/decryption operations.
3Loss of information
If massive amounts of sequencing data are collected and transmitted, then data completeness and analysis accuracy are improved, but transmission bandwidth requirements and processing time deteriorate
Solution Approach 1:
The patent extracts and transmits only the essential genetic data elements required for analysis, rather than transmitting all raw sequencing data. By identifying and extracting only the critical information needed for medical or research purposes, the system reduces transmission volume and time while maintaining data completeness for the intended analysis objectives.
Data Source
AI summary
Systems, devices, and methods for encrypting genetic information are provided herein. Also provided herein are systems, devices, and methods for encrypting compressed genetic data, transmitting encrypted compressed genetic data, and receiving, storing, accessing encrypted compressed genetic data. In some cases, a user interface is in communication with a system or device provided herein.