scholarly journals Application of a Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China

10.2196/13587 ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. e13587 ◽  
Author(s):  
Xiao-Ling Jin ◽  
Miao Zhang ◽  
Zhongyun Zhou ◽  
Xiaoyu Yu
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Data Security ◽  
Psychological Empowerment ◽  
Rapid Development ◽  
Genomic Data ◽  
Personal Genomic ◽  
Research And Innovation ◽  
Blockchain Technology ◽  
Data Ownership

Background The rapid development of genetic and genomic technologies, such as next-generation sequencing and genome editing, has made disease treatment much more precise and effective. The technologies’ value can only be realized by the aggregation and analysis of people’s genomic and health data. However, the collection and sharing of genomic data has many obstacles, including low data quality, information islands, tampering distortions, missing records, leaking of private data, and gray data transactions. Objective This study aimed to prove that emerging blockchain technology provides a solution for the protection and management of sensitive personal genomic data because of its decentralization, traceability, encryption algorithms, and antitampering features. Methods This paper describes the case of a blockchain-based genomic big data platform, LifeCODE.ai, to illustrate the means by which blockchain enables the storage and management of genomic data from the perspectives of data ownership, data sharing, and data security. Results Blockchain opens up new avenues for dealing with data ownership, data sharing, and data security issues in genomic big data platforms and realizes the psychological empowerment of individuals in the platform. Conclusions The blockchain platform provides new possibilities for the management and security of genetic data and can help realize the psychological empowerment of individuals in the process, and consequently, the effects of data self-governance, incentive-sharing, and security improvement can be achieved. However, there are still some problems in the blockchain that have not been solved, and which require continuous in-depth research and innovation in the future.

scholarly journals Application of a Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China (Preprint)

2019 ◽  
Author(s):  
Xiao-Ling Jin ◽  
Miao Zhang ◽  
Zhongyun Zhou ◽  
Xiaoyu Yu
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Data Security ◽  
Psychological Empowerment ◽  
Rapid Development ◽  
Genomic Data ◽  
Personal Genomic ◽  
Research And Innovation ◽  
Blockchain Technology ◽  
Data Ownership

BACKGROUND The rapid development of genetic and genomic technologies, such as next-generation sequencing and genome editing, has made disease treatment much more precise and effective. The technologies’ value can only be realized by the aggregation and analysis of people’s genomic and health data. However, the collection and sharing of genomic data has many obstacles, including low data quality, information islands, tampering distortions, missing records, leaking of private data, and gray data transactions. OBJECTIVE This study aimed to prove that emerging blockchain technology provides a solution for the protection and management of sensitive personal genomic data because of its decentralization, traceability, encryption algorithms, and antitampering features. METHODS This paper describes the case of a blockchain-based genomic big data platform, LifeCODE.ai, to illustrate the means by which blockchain enables the storage and management of genomic data from the perspectives of data ownership, data sharing, and data security. RESULTS Blockchain opens up new avenues for dealing with data ownership, data sharing, and data security issues in genomic big data platforms and realizes the psychological empowerment of individuals in the platform. CONCLUSIONS The blockchain platform provides new possibilities for the management and security of genetic data and can help realize the psychological empowerment of individuals in the process, and consequently, the effects of data self-governance, incentive-sharing, and security improvement can be achieved. However, there are still some problems in the blockchain that have not been solved, and which require continuous in-depth research and innovation in the future.

scholarly journals Blockchain Technology for Healthcare Big Data Sharing

2018 ◽  
Vol 3 (1) ◽  
pp. 73-82
Author(s):  
Hyeong Won Yu ◽  
Wookyun Kho ◽  
Han Hyoun Wook ◽  
Eunsol Lee ◽  
Ho-seong Han
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Blockchain Technology

scholarly journals Blockchain-based Secure Big Data Storage on Cloud

2020 ◽  
Vol 9 (4) ◽  
pp. 37-45
Keyword(s):  
Big Data ◽  
Comparative Analysis ◽  
Data Storage ◽  
Data Security ◽  
Cloud Storage ◽  
Information Technologies ◽  
Mobile Cloud ◽  
Blockchain Technology ◽  
Data Authentication ◽  
Big Data Storage

In the cryptocurrency era, Blockchain is one of the expeditiously growing information technologies that help in providing security to the data. Data tampering and authentication problems generally occur in centralized servers while sharing and storing the data. Blockchain provides the platform for big data and cloud storage in enhancing the security by evading from pernicious users. In this paper, we have discussed the exhaustive description of blockchain and its need, features and applications. Analysis of blockchain is done for different domains such as big data, cloud, internet of things and mobile cloud where the differences V’s are compared with big data and blockchain. SWOT (Strength Weakness Opportunities Threats) analysis is performed to address the merits and limitations in blockchain technology. The survey in aspects of data security, data storage, data sharing and data authentication through blockchain technology is done and the challenges are discussed to overcome the problem that leads in big data and cloud storage. The detailed comparative analysis proves that the blockchain technology overcomes the problems in big data storage and data security in cloud.

scholarly journals Hierarchically Authorized Transactions for Massive Internet-of-Things Data Sharing Based on Multilayer Blockchain

2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Protection ◽  
High Performance ◽  
The Internet ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.

scholarly journals The effect of kinship in re-identification attacks against genomic data sharing beacons

2020 ◽  
Vol 36 (Supplement_2) ◽  
pp. i903-i910
Author(s):  
Kerem Ayoz ◽  
Miray Aysen ◽  
Erman Ayday ◽  
A Ercument Cicek
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Family Members ◽  
Significant Risk ◽  
Genomic Data ◽  
Protection Effect ◽  
Utility Loss ◽  
Inference Attacks ◽  
First Time

Abstract Motivation Big data era in genomics promises a breakthrough in medicine, but sharing data in a private manner limit the pace of field. Widely accepted ‘genomic data sharing beacon’ protocol provides a standardized and secure interface for querying the genomic datasets. The data are only shared if the desired information (e.g. a certain variant) exists in the dataset. Various studies showed that beacons are vulnerable to re-identification (or membership inference) attacks. As beacons are generally associated with sensitive phenotype information, re-identification creates a significant risk for the participants. Unfortunately, proposed countermeasures against such attacks have failed to be effective, as they do not consider the utility of beacon protocol. Results In this study, for the first time, we analyze the mitigation effect of the kinship relationships among beacon participants against re-identification attacks. We argue that having multiple family members in a beacon can garble the information for attacks since a substantial number of variants are shared among kin-related people. Using family genomes from HapMap and synthetically generated datasets, we show that having one of the parents of a victim in the beacon causes (i) significant decrease in the power of attacks and (ii) substantial increase in the number of queries needed to confirm an individual’s beacon membership. We also show how the protection effect attenuates when more distant relatives, such as grandparents are included alongside the victim. Furthermore, we quantify the utility loss due adding relatives and show that it is smaller compared with flipping based techniques.

Blockchain in Clinical Trials

2021 ◽  
pp. 278-292
Author(s):  
Shaveta Malik ◽  
Archana Mire ◽  
Amit Kumar Tyagi ◽  
Arathi Boyanapalli
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Clinical Research ◽  
Data Sharing ◽  
Study Protocol ◽  
Data Security ◽  
Personal Data ◽  
Third Party ◽  
Report Generation ◽  
Blockchain Technology

Clinical research comprises participation from patients. Often there are concerns of enrolment from patients. Hence, it has to face various challenges related to personal data, such as data sharing, privacy and reproducibility, etc. Patients and researchers need to track a set plan called study protocol. This protocol spans through various stages such as registration, collection and analysis of data, report generation, and finally, results in publication of findings. The Blockchain technology has emerged as one of the possible solutions to these challenges. It has a potential to address all the problem associated with clinical research. It provides the comfort for building transparent, secure services relying on trusted third party. This technology enables one to share the control of the data, security, and the parameters with a single patient or a group of patients or any other stakeholders of clinical trial. This chapter addresses the use of blockchain in execution of secure and trusted clinical trials.

scholarly journals Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maliha Sultana ◽  
Afrida Hossain ◽  
Fabiha Laila ◽  
Kazi Abu Taher ◽  
Muhammad Nazrul Islam
Keyword(s):  
Data Sharing ◽  
Data Storage ◽  
Data Security ◽  
Medical Image ◽  
Research Output ◽  
Health Data ◽  
Medical Data ◽  
Sensitive Information ◽  
Security Measures ◽  
Blockchain Technology

Abstract Background Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data vulnerable to cyber attacks. Medical records in particular seem to be the regular victims of hackers. Several data breach incidents throughout history have warranted the invention of security measures against these threats. Although various security procedures like firewalls, virtual private networks, encryption, etc are present, a mix of these approaches are required for maximum security in medical image and data sharing. Methods Relatively new, blockchain has become an effective tool for safeguarding sensitive information. However, to ensure overall protection of medical data (images), security measures have to be taken at each step, from the beginning, during and even after transmission of medical images which is ensured by zero trust security model. In this research, a number of studies that deal with these two concepts were studied and a decentralized and trustless framework was proposed by combining these two concepts for secured medical data and image transfer and storage. Results Research output suggested blockchain technology ensures data integrity by maintaining an audit trail of every transaction while zero trust principles make sure the medical data is encrypted and only authenticated users and devices interact with the network. Thus the proposed model solves a lot of vulnerabilities related to data security. Conclusions A system to combat medical/health data vulnerabilities has been proposed. The system makes use of the immutability of blockchain, the additional security of zero trust principles, and the scalability of off chain data storage using Inter Planetary File Systems (IPFS). The adoption of this system suggests to enhance the security of medical or health data transmission.

scholarly journals Blockchain for genomics and healthcare: a literature review, current status, classification and open issues

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12130
Author(s):  
Beyhan Adanur Dedeturk ◽  
Ahmet Soran ◽  
Burcu Bakir-Gungor
Keyword(s):  
Data Sharing ◽  
Genomic Data ◽  
Current Status ◽  
Omics Data ◽  
Data Types ◽  
Healthcare Applications ◽  
Advantages And Disadvantages ◽  
Blockchain Technology ◽  
Review Current ◽  
Open Issues

The tremendous boost in the next generation sequencing technologies and in the “omics” technologies resulted in the generation of hundreds of gigabytes of data per day. Nowadays, via integrating -omics data with other data types, such as imaging and electronic health record (EHR) data, panomics studies attempt to identify novel and potentially actionable biomarkers for personalized medicine applications. In this respect, for the accurate analysis of -omics data and EHR, there is a need to establish secure and robust pipelines that take the ethical aspects into consideration, regulate privacy and ownership issues, and data sharing. These days, blockchain technology has picked up significant attention in diverse fields, including genomics, since it offers a new solution for these problems from a different perspective. Blockchain is an immutable transaction ledger, which offers secure and distributed system without a central authority. Within the system, each transaction can be expressed with cryptographically signed blocks, and the verification of transactions is performed by the users of the network. In this review, firstly, we aim to highlight the challenges of EHR and genomic data sharing. Secondly, we attempt to answer “Why” or “Why not” the blockchain technology is suitable for genomics and healthcare applications in detail. Thirdly, we elucidate the general blockchain structure based on the Ethereum, which is a more suitable technology for the genomic data sharing platforms. Fourthly, we review current blockchain-based EHR and genomic data sharing platforms, evaluate the advantages and disadvantages of these applications, and classify these applications using different metrics. Finally, we conclude by discussing the open issues and introducing our suggestion on the topic. In summary, to facilitate the diagnosis, monitoring and therapy of diseases with the effective analysis of -omics data with other available data types, through this review, we put forward the possible implications of the blockchain technology to life sciences and healthcare.

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