Manuscript Number : SHISRRJ247222

Medilocator

Authors(2) :-K. Padmanaban, T. Nandini

Mobile Cloud Computing (MCC) has emerged as a transformative technological convergence, offering unprecedented advantages in terms of mobility, scalability, and accessibility for mobile applications and services. However, this integration also introduces critical data security challenges that necessitate immediate attention and innovative solutions. This project endeavors to comprehensively address and mitigate the data security issues inherent in Mobile Cloud Computing to ensure the confidentiality, integrity, and availability of sensitive data. The project acknowledges the multifaceted nature of security concerns in MCC, stemming from the dynamic characteristics of mobile devices, untrusted network environments, and shared cloud resources.

Authors and Affiliations

K. Padmanaban
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
T. Nandini
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Symptom based disease, machine-learning algorithms and Cloud Computing

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Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 114-120
Manuscript Number : SHISRRJ247222
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

K. Padmanaban, T. Nandini, "Medilocator", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.114-120, March-April.2024
URL : https://shisrrj.com/SHISRRJ247222

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