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Paper Details

Paper Title
Privacy Protection Of Sensitive Data By Using Pallier Cryptography
Abstract
Healthcare applications are careful as assured lees for wireless device systems, where patients can be check using wireless medical sensor networks (WMSNs). Present WMSN healthcare investigation trends focus on patient reliable communication, patient mobility, and energy-efficient routing, as a few examples. However, establishing new services in healthcare requests without permitting for security makes patient privacy susceptible. Moreover, the physiological data of an individual are highly sensitive. Therefore, security is a paramount requirement of healthcare applications, especially in the case of patient privacy, if the patient has an embarrassing disease. This project discusses the security and privacy issues in healthcare application using WMSNs. We highlight some popular healthcare projects using wireless medical sensor networks, and discuss their security the existing systems solutions can simply protect the patient data during transmission, but cannot protect the confidential occurrence where the manager of the patient database reveals the sensitive patient data. So we are proposing a approach to prevent the inside attack by using multiple data servers to store patient data. The main contribution of this paper is to distribute patients data securely in multiple data servers and performing the Paillier cryptosystems to perform statistical analysis on the patient data without compromising the patients privacy. It will trace the hacker information such as IP address, MAC address, time, date by using honey checker.
Keyword
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Others Details
Paper Id : 71200
Author Name : Sachin
Co-Author Name(s) : SagarGaneshShubhamProf.Dipti Chaudhari
Volume/Issue No : Volume 05 Issue 01
Page No : 114-117
DOI Number : DOI:10.21090/IJAERD.71200
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 5.71, SJIF-2017
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406