The Cloud's Balancing Confidentiality and Collaboration

Group data sharing in cloud settings has become more popular recently as a result of cloud computing's broad acceptance. The need for efficient and safe data exchange in such settings is currently urgent. Another particular problem in cloud-based exchange of data is finding a balance of anonymity and traceability. In order to preserve anonymity, this study focuses on providing safe and effective data exchange and storage for organizations via the cloud. In order to accommodate numerous users surreptitiously in public clouds, it suggests a unique traceable collective data sharing system that makes use of key collaboration and group signature techniques. This system ensures that member identities may be tracked when required while enabling group members to converse anonymously using group signatures. Additionally, to allow for safe data exchange and preservation among group members, a shared conference key is obtained via key agreement. Notably, the key generation process for the system uses a symmetrically balanced incomplete block architecture, greatly easing the load on participants while determining a shared conference key. The suggested approach for collective information sharing on the internet of things is shown to be secure and effective via theoretical investigation and empirical assessments.

I. Introduction

Due to its ability to share resources and be more energy efficient than conventional information exchange and communication methods, cloud computing has attracted a IoT of attention from academics. [1] Along with apparently endless computational capabilities, cloud computing also offers vast storage resources. A key element of cloud computing, cloud storage enables the smooth transmission of many different types of info and data, including social media sites, editing movies, and home networks. [2] Group data sharing via the cloud, where many users want to exchange information cooperatively, has gotten very little attention. Digital libraries, wireless body area networks, and electronic health networks all make use of group data sharing. In cloud storage, data sharing normally takes place in one of two ways: one-to-many, where a single client grants exposure to their data to several customers concurrently; or many-to-many, when many users within the same grouping do the same.