Proposing a Cluster-Based Method to Compose Privacy-Aware Cloud Services

Reza Khandan, Sima Emadi

Abstract


Protecting data and providing the users’ security, which is presented in the cloud services environments, is crucial for organizations and people because some of the organizations consider transferring their important applications and sensitive data to the simple cloud environment as a big risk. Because of these concerns, a cloud provider has to create certainty that the clients are able to maintain their security and control over privacy in important applications. While cloud calculations have some advantages, they have many disadvantages too. One of them is threats, which jeopardize it in terms of security and serves as a major barrier for users to adapt to cloud systems. In this research, security, which is one of the most important challenges in cloud, and its threats, such as physical security, information security, data retrieval, controlling user accessibility by the provider, and interval in servicing, as well as strategies to encounter each of them, such as safe infrastructures, and other challenges have been taken into consideration. In this research, we propose a new method, 2 Steps Clustering-Combining Method (2SCCM), which resulted in drop in the number of migrations. This method, which uses two-step clustering and data classification, is able to reduce the number of migrations, conceal the services by combining, and improve the quality of medical information extracted from the web services. In terms of medical data, this not only increases productivity, but also enhances the security and privacy in cloud services as much as possible.


Keywords


Web Services, Web services combining, Privatization, Privacy, Clustering, Migration

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Abstract

References


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