Encrypted genomes: advancing personalized medicine with homomorphic encryption

The escalating need for privacy in genomic data analysis, amidst the rising prominence of personalized medicine, has catalyzed the exploration of advanced cryptographic solutions. This project delves into the application of Homomorphic Encryption (HE) to secure genomic calculations, ensuring data pr...

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Main Author: Lee, Bryan Wei Han
Other Authors: Anupam Chattopadhyay
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175372
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1753722024-04-26T15:43:09Z Encrypted genomes: advancing personalized medicine with homomorphic encryption Lee, Bryan Wei Han Anupam Chattopadhyay School of Computer Science and Engineering anupam@ntu.edu.sg Computer and Information Science Engineering Homomorphic encryption The escalating need for privacy in genomic data analysis, amidst the rising prominence of personalized medicine, has catalyzed the exploration of advanced cryptographic solutions. This project delves into the application of Homomorphic Encryption (HE) to secure genomic calculations, ensuring data privacy without compromising the ability to perform essential analyses. Utilizing the Cheon-Kim-Kim-Song (CKKS) scheme via the HElib library, a web-based Graphical User Interface (GUI) was developed to facilitate user-friendly, secure genomic data input and computation within the encrypted domain. Key genomic calculations such as arithmetic operations, average expression level analysis, differential expression ratio computation, and variance in expression levels were successfully executed. Despite the inherent computational overhead associated with HE, the project underscores its viability for secure genomic analysis, offering insights into optimizing performance and expanding computational capabilities for future research. The endeavor not only illustrates the potential of HE in enhancing data privacy in genomic research but also sets the stage for further advancements in the integration of cryptographic techniques within the field of genomics. Bachelor's degree 2024-04-22T04:50:46Z 2024-04-22T04:50:46Z 2024 Final Year Project (FYP) Lee, B. W. H. (2024). Encrypted genomes: advancing personalized medicine with homomorphic encryption. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175372 https://hdl.handle.net/10356/175372 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Engineering
Homomorphic encryption
spellingShingle Computer and Information Science
Engineering
Homomorphic encryption
Lee, Bryan Wei Han
Encrypted genomes: advancing personalized medicine with homomorphic encryption
description The escalating need for privacy in genomic data analysis, amidst the rising prominence of personalized medicine, has catalyzed the exploration of advanced cryptographic solutions. This project delves into the application of Homomorphic Encryption (HE) to secure genomic calculations, ensuring data privacy without compromising the ability to perform essential analyses. Utilizing the Cheon-Kim-Kim-Song (CKKS) scheme via the HElib library, a web-based Graphical User Interface (GUI) was developed to facilitate user-friendly, secure genomic data input and computation within the encrypted domain. Key genomic calculations such as arithmetic operations, average expression level analysis, differential expression ratio computation, and variance in expression levels were successfully executed. Despite the inherent computational overhead associated with HE, the project underscores its viability for secure genomic analysis, offering insights into optimizing performance and expanding computational capabilities for future research. The endeavor not only illustrates the potential of HE in enhancing data privacy in genomic research but also sets the stage for further advancements in the integration of cryptographic techniques within the field of genomics.
author2 Anupam Chattopadhyay
author_facet Anupam Chattopadhyay
Lee, Bryan Wei Han
format Final Year Project
author Lee, Bryan Wei Han
author_sort Lee, Bryan Wei Han
title Encrypted genomes: advancing personalized medicine with homomorphic encryption
title_short Encrypted genomes: advancing personalized medicine with homomorphic encryption
title_full Encrypted genomes: advancing personalized medicine with homomorphic encryption
title_fullStr Encrypted genomes: advancing personalized medicine with homomorphic encryption
title_full_unstemmed Encrypted genomes: advancing personalized medicine with homomorphic encryption
title_sort encrypted genomes: advancing personalized medicine with homomorphic encryption
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175372
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