Effective Cloud-Based Strategies For Managing Online Reputations

Abstract

Leasing computing resources are now feasible thanks to the Infrastructure as a Service (IaaS) concept made available by cloud computing. In spite of the fact that leased computing resources provide a more financially advantageous answer to the requirements of virtual networks, customers are reluctant to make use of them due to low levels of trust in these resources. Multi-tenancy is a method for reducing operating expenses by allocating a single set of computer resources to serve the needs of several users simultaneously. The fact that computer resources and communication methods are being shared gives rise to concerns over the security and integrity of the data. Since the users are anonymous, it may be difficult for a person to decide who among their neighbours can be trusted. This may make it difficult for an individual to choose a place to live. It is very necessary to have faith in the capacity of the cloud provider (CP) to match customers with dependable co-tenants. Yet, it is in the CP's best interest to make the most of the usage of the resources. So, it enables the maximum possible degree of co-tenancy, which is unaffected by the actions of the user. We provide a powerful reputation management system that pays CPs for discriminating between genuine and malicious users. This prevents resource sharing across CPs in a federated cloud environment, which is one of the goals of our system. Through a combination of theoretical and empirical research, we demonstrate that the proposed method for managing reputations is effective and legitimate.