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An Efficient Hybrid Encryption Scheme for Large Genomic Data Files

  • Beihang University
  • National Research Institute for Family Planning, Beijing
  • Aviation Industry Development Research Center of China

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the rapid development of genomic sequencing technology, the cost of obtaining personal genomic data and analyzing it effectively has been gradually reduced. The analysis and utilization of genomic data have gradually come into the public view, the privacy leakage of genomic data has aroused the attention of researchers. Genomic data has unique format and a large amount of data, but the existing genetic privacy protection schemes often fail to consider security, availability and efficiency together. In this paper, we analyzed widely used genomic data file formats and designed a hybrid encryption scheme for large genomic data files. Firstly, we designed a key agreement protocol based on RSA asymmetric cryptography. Secondly, we used AES symmetric encryption to encrypt the genomic data by optimizing the packet processing of files and multithreading encryption, and improved the usability by assisting the computing platform with key management. Software implementation indicates that the scheme can be applied to the secure transmission of genomic data in the network environment and provide an efficient encryption method for the privacy protection of genomic data.

源语言英语
主期刊名Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health - International 2019 Cyberspace Congress, CyberDI and CyberLife, Proceedings
编辑Huansheng Ning
出版商Springer
214-230
页数17
ISBN(印刷版)9789811519215
DOI
出版状态已出版 - 2019
活动3rd International Conference on Cyberspace Data and Intelligence, Cyber DI 2019, and the International Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2019 - Beijing, 中国
期限: 16 12月 201918 12月 2019

出版系列

姓名Communications in Computer and Information Science
1137 CCIS
ISSN(印刷版)1865-0929
ISSN(电子版)1865-0937

会议

会议3rd International Conference on Cyberspace Data and Intelligence, Cyber DI 2019, and the International Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2019
国家/地区中国
Beijing
时期16/12/1918/12/19

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