DNA repair mutation detection using Deep learning strategy – A pharmacogenomic perspective

P, Sri Nidhi; Akshayaa, S; Vaisali, B; Namboori, P. K. Krishnan

doi:10.1109/i-pact44901.2019.8960113

Cited by 2 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Few researchers have attempted to use blockchain in this area and proposed a blockchain-based solution that provides not only genomic privacy, security, and anonymous data analysis, but also a method for reversing phenotypical expression errors [9]. The authors of [11] suggested using a blockchain algorithm to secure the medical data obtained. In addition, companies such as CrypDist, Nebula Genomics, and Gene-Chain use blockchain technology to enhance genomic data sharing.…”

Section: Blockchain Schemes For Genome Datamentioning

confidence: 99%

“…Several blockchain-based schemes exist for the gene data. Dambrot et al proposed ReGene to backup various types of information associated with the sharing of gene data [9], and many other researchers have attempted to adopt blockchain technology in healthcare data management systems [10][11][12]. Various blockchain-based gene data management solutions have also been proposed [13,14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Blockchain-Based Privacy-Preserving System for Genomic Data Management Using Local Differential Privacy

2021

View full text Add to dashboard Cite

The advances made in genome technology have resulted in significant amounts of genomic data being generated at an increasing speed. As genomic data contain various privacy-sensitive information, security schemes that protect confidentiality and control access are essential. Many security techniques have been proposed to safeguard healthcare data. However, these techniques are inadequate for genomic data management because of their large size. Additionally, privacy problems due to the sharing of gene data are yet to be addressed. In this study, we propose a secure genomic data management system using blockchain and local differential privacy (LDP). The proposed system employs two types of storage: private storage for internal staff and semi-private storage for external users. In private storage, because encrypted gene data are stored, only internal employees can access the data. Meanwhile, in semi-private storage, gene data are irreversibly modified by LDP. Through LDP, different noises are added to each section of the genomic data. Therefore, even though the third party uses or exposes the shared data, the owner’s privacy is guaranteed. Furthermore, the access control for each storage is ensured by the blockchain, and the gene owner can trace the usage and sharing status using a decentralized application in a mobile device.

show abstract

Section: Blockchain Schemes For Genome Datamentioning

confidence: 99%