Identity authentication-based load balancing with Merkle hash tree for secured cloud data storage Online publication date: Thu, 22-Jul-2021
by M. Jawahar; A. Sabari; S. Monika
International Journal of Business Innovation and Research (IJBIR), Vol. 25, No. 3, 2021
Abstract: Cloud computing allows users to store and process the data in the cloud in a simple manner. However, cloud security and load balancing remain as demanding issues in cloud server. An identity authentication load balancing based Merkle hashing (IALB-MH) technique is introduced for the user to access the cloud services with unique identity (ID). Initially each cloud user sends their ID to the CS for registration. The cloud service provider checks whether the user has authenticated or not by matching the cloud user ID with the ID in CS. Therefore, a load balancing is performed by avoiding the unauthorised access to data. A Merkle hash tree is constructed to store the user data with hash values in a secured manner with minimal storage space. Experimental evaluation is carried out on load balancing efficiency, attack detection rate, space and time complexity with respect to a number of cloud users and data.
Online publication date: Thu, 22-Jul-2021
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Innovation and Research (IJBIR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org