Privacy-preserving biomedical data sharing and computation
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Date
2020-08-14
Authors
Mahdi, Md Safiur Rahman
Journal Title
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Abstract
Genomic data is being produced rapidly by both individuals and enterprises and needs to be outsourced from local machines to a cloud for better flexibility. Outsourcing also eliminates the local storage management problem for data owners. However, sensitive data must be encrypted by data owners before outsourcing in the cloud to protect data privacy and security. Since genomic data is huge in volume, it is challenging to execute researchers’ queries securely and efficiently. In this thesis, I have developed various models for secure sharing and computation on genomic data in a third party cloud server. The security of the shared data is guaranteed through encryption while making the overall computation fast and scalable enough for real-life biomedical applications. In particular, I propose different methods for secure sharing and computation on genomic data such as secure count query, secure similar patients query, secure substring, and set-maximal search.
Description
Keywords
Secure data outsourcing, Computation on encrypted data, Biomedical data, Data privacy, Query privacy, Output privacy, Prefix tree, Generalized Suffix tree, Garbled circuit
Citation
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Xu, Guowen, et al. "DNA Similarity Search with Access Control over Encrypted Cloud Data." IEEE Transactions on Cloud Computing (2020).
Cheng, Ke, Yantian Hou, and Liangmin Wang. "Secure similar sequence query on outsourced genomic data." Proceedings of the 2018 on Asia Conference on Computer and Communications Security. 2018.
Handa, Rohit, C. Rama Krishna, and Naveen Aggarwal. "Searchable encryption: A survey on privacy‐preserving search schemes on encrypted outsourced data." Concurrency and Computation: Practice and Experience 31.17 (2019): e5201.
Gholami, Ali, Mohammad Ali Maddah-Ali, and Seyed Abolfazl Motahari. "Private Shotgun DNA Sequencing: A Structured Approach." 2019 Iran Workshop on Communication and Information Theory (IWCIT). IEEE, 2019.
Parker, Ziyaad, et al. "Building Infrastructure for African Human Genomic Data Management." Data Science Journal 18.1 (2019).
Cheng, Ke, Yantian Hou, and Liangmin Wang. "Secure similar sequence query on outsourced genomic data." Proceedings of the 2018 on Asia Conference on Computer and Communications Security. 2018.
Schneider, Thomas, and Oleksandr Tkachenko. "Towards efficient privacy-preserving similar sequence queries on outsourced genomic databases." Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 2018.
Schneider, Thomas, and Oleksandr Tkachenko. "EPISODE: Efficient PrIvacy-preserving Similar sequence queries on Outsourced genomic DatabasEs." Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. 2019.
Xu, Guowen, et al. "DNA Similarity Search with Access Control over Encrypted Cloud Data." IEEE Transactions on Cloud Computing (2020).
Cheng, Ke, Yantian Hou, and Liangmin Wang. "Secure similar sequence query on outsourced genomic data." Proceedings of the 2018 on Asia Conference on Computer and Communications Security. 2018.
Handa, Rohit, C. Rama Krishna, and Naveen Aggarwal. "Searchable encryption: A survey on privacy‐preserving search schemes on encrypted outsourced data." Concurrency and Computation: Practice and Experience 31.17 (2019): e5201.
Gholami, Ali, Mohammad Ali Maddah-Ali, and Seyed Abolfazl Motahari. "Private Shotgun DNA Sequencing: A Structured Approach." 2019 Iran Workshop on Communication and Information Theory (IWCIT). IEEE, 2019.