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Power Efficient, Reliable & Secure Body Area Network using Clustering

Authors(3) :-Shaikh Ayaz Shaikh Mahmood, Dr. M. S. Kathane, Yogesh B. Jadhao

Healthcare systems use a medical text mining which have been increasingly facilitating health condition monitoring and disease modelling. System works on the Personal Health Information (PHI) of the user. and analysis, which can hardly afford the dynamic health condition fluctuation Healthcare system grant users access to range of health information and medical knowledge. In proposed system I basically created the database of 150 to 200 diseases with their precaution suggestions. System will output the next highly probable disease by narrowing down the number of diseases from the list of diseases according to the related symptoms either entered by the users or captured by the different sensors nodes. Benefit of the system is all the information about disease, precautions and healthcare are store at one place. Unfortunately, delegating both storage and computation to the untreated entity would bring a series of security and privacy issues. One of the controversial issues for PHI is how the technology could threaten the privacy of patient health information. The proposed system focused on fine-grained privacy-preserving static medical text access.
Shaikh Ayaz Shaikh Mahmood, Dr. M. S. Kathane, Yogesh B. Jadhao
WBAN, WSN, Cloud Computing, K-Mean Clustering Algorithm, Rijndeal AES algorithm
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Publication Details
  Published in : Volume 4 | Issue 8 | May-June 2018
  Date of Publication : 2018-05-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 322-332
Manuscript Number : IJSRST1841248
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Shaikh Ayaz Shaikh Mahmood, Dr. M. S. Kathane, Yogesh B. Jadhao, "Power Efficient, Reliable & Secure Body Area Network using Clustering", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 8, pp.322-332, May-June-2018.
Journal URL : http://ijsrst.com/IJSRST1841248

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