IFHDS: Intelligent Framework for Securing Healthcare BigData.
Big data has become one of the most imperative technologies for collecting, handling and analysing enormous volumes of data in a high-performance environment. Enterprise healthcare organizations needs high compute power for the large volume of sensitive data, as well as large storage for storing bot...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 5 |
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| Autores principales: | , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Springer Nature
May2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136129217&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136129217 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: May2019 vid: 43 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136129217 136129217 136129217 10.1007/s10916-019-1250-4 136129217 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: IFHDS: Intelligent Framework for Securing Healthcare BigData. aug: au: Essa, Youssef M. Hemdan, Ezz El-Din El-Mahalawy, Ahmed Attiya, Gamal El-Sayed, Ayman affil: Senior Big Data Engineer, Idealo, Berlin, Germany sug: subj: Cloud Computing Data Security Methods Health Information Management Privacy and Confidentiality Health Services Health Care Industry Conceptual Framework Algorithms Encryption ab: Big data has become one of the most imperative technologies for collecting, handling and analysing enormous volumes of data in a high-performance environment. Enterprise healthcare organizations needs high compute power for the large volume of sensitive data, as well as large storage for storing both data and results, preferably in the cloud. However, security and privacy of patient data have become a critical issue that restricts many healthcare services from using cloud services to their optimal level. Therefore, this issue has limited healthcare organizations from migrating patient data to a cloud storage, because the cloud operators have chance to access sensitive data without the owner's permission. This paper proposes an intelligent security system called Intelligent Framework for Healthcare Data Security (IFHDS). IFHDS enables to secure and process large-scale data using column-based approach with less impact on the performance of data processing. The intelligent framework intends masking personal data and to encrypt sensitive data only. The proposed IFHDS splits sensitive data into multiple parts according to sensitivity level, where each part is stored separately over distributed cloud storage. Splitting data based on sensitivity level prevents cloud provider to break complete record of data if succeeds to decrypt part of data. The experimental results confirm that the proposed system secure the sensitive patient data with an acceptable computation time compared to recent security approaches. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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