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Efficient and Secure Privacy Analysis for Medical Big Data Using TDES and MKSVM with Access Control in Cloud.

Big Data and cloud computing are two essential issues in the recent years, empowers computing resources to be given as Information Technology services with high efficiency and effectiveness. So as to protect the security of data holders, data are regularly stored in the cloud in an encrypted form. I...

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Published in:Journal of Medical Systems Vol. 43; no. 8
Main Authors: Shanmugapriya, E., Kavitha, R.
Format: equations & formulas research tables/charts Journal Article
Published: Springer Nature Aug2019
Online Access:View this record in EBSCOhost
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      jtl: Journal of Medical Systems
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      dt: Aug2019
      vid: 43
      iid: 8
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-019-1374-6
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        atl: Efficient and Secure Privacy Analysis for Medical Big Data Using TDES and MKSVM with Access Control in Cloud.
      aug:
        au:
          Shanmugapriya, E.
          Kavitha, R.
        affil: College of Engineering Guindy, Anna University Chennai, Madurai, India
      sug:
        subj:
          Cloud Computing
          Data Analytics
          Access to Information
          Data Security Methods
          Privacy and Confidentiality
          Medical Informatics
          Human
          Comparative Studies
          Encryption
          Information Technology
          Algorithms
          Maps
          Minimum Data Set
          Programming Languages
          Database Quality
      ab: Big Data and cloud computing are two essential issues in the recent years, empowers computing resources to be given as Information Technology services with high efficiency and effectiveness. So as to protect the security of data holders, data are regularly stored in the cloud in an encrypted form. In any case, encrypted data introduce new challenges for cloud data deduplication, which becomes crucial for big data storage and processing in the cloud along with access control. In this paper dissected the medical big data security utilizing encryption with access control process. Big database reduce process Map-Reduce framework with Optimal Fuzzy C means (OFCM) to Clustered data are accumulated in the cloud and furthermore using classification approach to classify sensitive and non-sensitive data in the cloud to encryption. This security process Triple DES (TDES) to encrypted and stored in the cloud and propose practical optimization techniques that further enhance the scheme's performance, at long last authentication phase with attribute-based access control is used to authenticate data in cloud sim. From the proposed method the clustering, classification and encryption results are compared to existing approaches.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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