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In today's competitive IT world Cloud Computing is the word rolling around in all activities of IT companies. Thus, everyone is transforming their infrastructure from legacy infrastructure to cloud computing which is very feasible, and Cost effective. Finally, it can scale up and scale down instantly on demand basis. When companies think about the cloud adoption, security is the biggest issue and data is stored in software defined environment. This paper addresses security parameters which need to be mainly considered for cloud migration. Cloud service provider is responsible for building fence around the underlying infrastructure i.e. Compute, network and storage. Security is the main controller for adopting the cloud environment. In Cloud computing, security issues are identified with different layers. In this paper, new architecture is proposed for achieving data confidentiality and data integrity in multitenant workload migration into cloud. This architecture ensures that tenant has secure relationship between source and destination data centers via staging area. This staging area has capability to migrate the workload in different hypervisors. Workload meets security guidelines through this migration process from beginning to end. IndexTerms-Cloud security, multitenant, data confidentiality, data migration, software defined functionalities (SDF).

Maintaining the security of data stored in the public or private cloud is a more tedious task. The cloud is the only arrangement for storing enormous amounts of data, but there is a possibility of storing the same data more than once. The traditional security system generates different unreadable data for the same readable content of a file. Therefore, it is necessary to address data security of the cloud and duplication in cloud storage. This paper concentrates on developing a data security and deduplication framework with different security techniques and mechanisms to address the said difficulties in the cloud. The framework proposed in this paper focuses on reducing security vulnerability as well as data duplication. The paper describes the components used in the frameworks. The main research contribution of the framework is having enhanced the convergent encryption technique, key generation techniques, and deduplication mechanism for maintaining a single copy of data in the cloud. The proposed framework’s efficiency is measured by implementing the work by developing a cloud-based application that coded for all the procedures of the proposed framework and tested in the cloud environment.

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