Refined cloud services discovery based on user model including privacy-preserving access control

Cloud applications are increasingly available, and the cloud must provide a multitude of services to cover the requirements of diverse users. Likewise, the number of web services has increased, and users may find themselves lost in the array of complex services. Consequently, it has become difficult for users to find the best services to meet their needs. In this context, cloud service discovery is an important challenge that has received increasing attention. In the cloud environment, services are openly accessible, which can lead to potential risks. Security in cloud services thus is necessary and can be identified through many attributes. In this study, we examine privacy attributes, which at present are the most bargain property in the cloud environment, and present a few mechanisms, including access control. With a specific goal to encourage cloud investigation by the user, we propose a refined cloud services discovery tool based on a user model that includes privacy-preserving access control. This user model is a combination of user context and security context and is designed with the aim of disentangling the demonstrating task.