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IFHDS: Intelligent Framework for Securing Healthcare BigData
- Source :
- Journal of medical systems. 43(5)
- Publication Year :
- 2018
-
Abstract
- 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.
- Subjects :
- Big Data
Computer science
Big data
Medicine (miscellaneous)
Information Storage and Retrieval
Health Informatics
Cloud computing
Permission
Encryption
Computer security
computer.software_genre
Masking (Electronic Health Record)
Health informatics
Health Information Management
Electronic Health Records
Humans
Computer Security
Data processing
business.industry
Cloud Computing
business
computer
Cloud storage
Algorithms
Confidentiality
Information Systems
Subjects
Details
- ISSN :
- 1573689X
- Volume :
- 43
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of medical systems
- Accession number :
- edsair.doi.dedup.....d0e0d1ce5c737b36c1cfd40df2ab2276