Cloud Based E- Health Care Data Security And Privacy By Using Advanced Encryption Standard And Watermarking Technique

Daniya Jaffar, Ahthasham Sajid (), Asma Jahangeer and Raja Asif Wagan
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Daniya Jaffar: Department of Computer Science, Faculty of ICT, Balochistan University of Information Technology Engineering and Management Sciences,Quetta, Pakistan
Ahthasham Sajid: Department of Computer Science, Faculty of ICT, Balochistan University of Information Technology Engineering and Management Sciences , Quetta, Pakistan
Asma Jahangeer: Department of Information Technology, Faculty of ICT, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Pakistan
Raja Asif Wagan: Department of Information Technology, Faculty of ICT, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Pakistan

Malaysian E Commerce Journal (MECJ), 2020, vol. 4, issue 1, 1-4

Abstract: In 21st century technological word now has bring a tremendous change to health care system is widely used by doctor patients and researchers. Patients use wearable device such as smart eyewear, foot wear, smart watches, which is use by both patient to wear and by doctor to monitor patient condition remotely on cloud. This provides time savage fastest treatment facility but as this data is huge in amount it’s very important to take care of security and privacy of the big data on cloud. Because the big data is not between patient and doctor it’s on cloud were several third parties like service providers and other unauthorized user are also present and they can easily fetch patient’s personal information for their own benefit. In this paper a novel approach based on advance encryption method and watermarking technique is presented to provide protection and security to e health data on cloud.

Keywords: EHCR; AES Algorithm; Big Data; Image Watermarking; DOS. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbmecj:v:4:y:2020:i:1:p:1-4

DOI: 10.26480/mecj.01.2020.01.04

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