ISSN : 2663-2187

A Trust Model with Weights for Safe Cloud Data Broking and Bursting

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Shreyas Pagare , Manoj Verma , Deepesh Shrivas , 4Ashutosh Khemriya , Tanvee Nema , Kirti Sharma
ยป doi: 10.48047/AFJBS.6.10.2024.5867-5874

Abstract

To control the service of cloud servers, several agencies and companies are involved in cloud infrastructure. Security is a major problem in cloud server data hosting in this setting. This paper introduces the concerns and challenges associated with data broking. In the first stage, a cryptographic solution based on the SHA1 and AES algorithms is supplied, which aids in the secure storage of data on the cloud. Furthermore, a novel trust management approach based on weighted trust is offered for design and implementation in order to address the stated concerns. The key system consists of three parties demonstrating the challenges and solutions. Furthermore, the solution is divided into two modules that gather the quality of brokerage services provided by the broker and the client. Furthermore, the selection is made between the infrastructure and the broker. In this context, behavioral information comprises the brokerage server rating supplied by server users, server response time, communication protocols utilized, and total broken session. Using these factors, a weighted trust value is calculated, which is used to govern trust levels and manage infrastructure access. The suggested model's implementation is offered utilizing JSP technology. Furthermore, their performance is measured to ensure that the suggested model is efficient and secure in attaining the work's objectives

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