International Journal of Advance Computational Engineering and Networking (IJACEN)
.
Follow Us On :
current issues
Volume-9,Issue-1  ( Jan, 2021 )
Past issues
  1. Volume-8,Issue-12  ( Dec, 2020 )
  2. Volume-8,Issue-11  ( Nov, 2020 )
  3. Volume-8,Issue-10  ( Oct, 2020 )
  4. Volume-8,Issue-9  ( Sep, 2020 )
  5. Volume-8,Issue-8  ( Aug, 2020 )
  6. Volume-8,Issue-7  ( Jul, 2020 )
  7. Volume-8,Issue-6  ( Jun, 2020 )
  8. Volume-8,Issue-5  ( May, 2020 )
  9. Volume-8,Issue-4  ( Apr, 2020 )
  10. Volume-8,Issue-3  ( Mar, 2020 )

Statistics report
Apr. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 96
Paper Published : 1284
No. of Authors : 3226
  Journal Paper


Paper Title :
Scalable Privacy Preservation Of EHRS Using Data Anonymization On Mapreduce Framework

Author :Yasir Hamid Wani, Vivekanandreddy, Inam Ul Islam Wani

Article Citation :Yasir Hamid Wani ,Vivekanandreddy ,Inam Ul Islam Wani , (2014 ) " Scalable Privacy Preservation Of EHRS Using Data Anonymization On Mapreduce Framework " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 68-72, Volume-2,Issue-8

Abstract : Electronic Health Records are great source of information to research organizations and doctors for in-depth study and accurate diagnosis of diseases. There are pressing needs for EHRs to be shared and hence published in the public domain. However, there is one main aspect related to publishing of EHRs i.e. Data Privacy. In India, we don’t have proper Privacy Standards and Laws for Privacy of MHRs, whereas other European countries and USA have already identified the stigmatic consequences of leakage of EHR belonging to any particular person. This paper proposes a Scalable Two-Stage Top-Down Specialization approach to anonymize EHRs on MapReduce, which has potential to become vanguard for the pursuit of privacy for EHRs in India. Experimental evaluation results also shows that with our approach, the scalability and efficiency of top-down specialization can be significantly improved over existing Anonymization approaches.

Type : Research paper

Published : Volume-2,Issue-8


DOIONLINE NO - IJACEN-IRAJ-DOIONLNE-1077   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 48
| Published on 2014-08-01
   
   
IRAJ Other Journals
IJACEN updates
Paper Submission is open now for upcoming Issue.
The Conference World

JOURNAL SUPPORTED BY