Comparative Study on Data Encryption Algorithms in Cloud Platform

Abstract

-The high growth in the cloud computing has reached the each and every corners of the world. The cloud computing offers the dynamically shared resources namely networks, storage, servers, services and applications, without physically acquiring them. So it saves managing cost and time for organizations. Cloud services providers various services like SaaS, Paas, IaaS, NaaS and etc., over the internet. Cloud Computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. Security is to save data from danger and vulnerability. There are so many dangers and vulnerabilities to be handled. There are still some challenges to be solved among that the security and trust issues are vital one. In this paper the various kinds of the encryption algorithms are discussed in details and the performances of those algorithms are evaluated to analysis the best algorithm for the cloud platform. This discusses the various open research issues and challenges that present in the cloud platform.

K-Medoids Algorithm to Clustering COVID-19 Patients with Various Age Levels at Hospitals in Yogyakarta Province

“…A study showed the performance of the K-Medoids algorithm is superior to the K-Means algorithm in terms of accuracy with an accuracy of 63,24% (Nurhayati et al, 2019). Study on diabetes data to know the characteristics and track the maximum number of patients suffering from diabetes based on the area calculation algorithm, it was found that K-Medoids is the best algorithm for generating clusters 1015 (Anuradha et al, 2014). The purpose of this study was to find out whether K-Medoids can distinguish COVID-19 patients at various ages level and can help the government to break the chain of transmission of COVID-19.…”