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SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting
Recent advancements in sequencing methods have led to significant increase in sequencing data. Increase in sequencing data leads to research challenges such as storage, transfer, processing, etc. data compression techniques have been opted to cope with the storage of these data. There have been good...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454964/ https://www.ncbi.nlm.nih.gov/pubmed/34143692 http://dx.doi.org/10.1177/00368504211023276 |
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author | Sardaraz, Muhammad Tahir, Muhammad |
author_facet | Sardaraz, Muhammad Tahir, Muhammad |
author_sort | Sardaraz, Muhammad |
collection | PubMed |
description | Recent advancements in sequencing methods have led to significant increase in sequencing data. Increase in sequencing data leads to research challenges such as storage, transfer, processing, etc. data compression techniques have been opted to cope with the storage of these data. There have been good achievements in compression ratio and execution time. This fast-paced advancement has raised major concerns about the security of data. Confidentiality, integrity, authenticity of data needs to be ensured. This paper presents a novel lossless reference-free algorithm that focuses on data compression along with encryption to achieve security in addition to other parameters. The proposed algorithm uses preprocessing of data before applying general-purpose compression library. Genetic algorithm is used to encrypt the data. The technique is validated with experimental results on benchmark datasets. Comparative analysis with state-of-the-art techniques is presented. The results show that the proposed method achieves better results in comparison to existing methods. |
format | Online Article Text |
id | pubmed-10454964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104549642023-08-26 SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting Sardaraz, Muhammad Tahir, Muhammad Sci Prog Original Manuscript Recent advancements in sequencing methods have led to significant increase in sequencing data. Increase in sequencing data leads to research challenges such as storage, transfer, processing, etc. data compression techniques have been opted to cope with the storage of these data. There have been good achievements in compression ratio and execution time. This fast-paced advancement has raised major concerns about the security of data. Confidentiality, integrity, authenticity of data needs to be ensured. This paper presents a novel lossless reference-free algorithm that focuses on data compression along with encryption to achieve security in addition to other parameters. The proposed algorithm uses preprocessing of data before applying general-purpose compression library. Genetic algorithm is used to encrypt the data. The technique is validated with experimental results on benchmark datasets. Comparative analysis with state-of-the-art techniques is presented. The results show that the proposed method achieves better results in comparison to existing methods. SAGE Publications 2021-06-18 /pmc/articles/PMC10454964/ /pubmed/34143692 http://dx.doi.org/10.1177/00368504211023276 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Manuscript Sardaraz, Muhammad Tahir, Muhammad SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting |
title | SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting |
title_full | SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting |
title_fullStr | SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting |
title_full_unstemmed | SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting |
title_short | SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting |
title_sort | sca-ngs: secure compression algorithm for next generation sequencing data using genetic operators and block sorting |
topic | Original Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454964/ https://www.ncbi.nlm.nih.gov/pubmed/34143692 http://dx.doi.org/10.1177/00368504211023276 |
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