Cloud-Based Data Collaboration: Balanced Anonymity and Monitoring

Over the last few years there has been an increased interest in group data transmission inside cloud systems. The rise in the use of computing via the cloud has made more visible an obvious fact: sharing data among computations running concurrently or on different dates but that are trying to solve part of a single scientific challenge is essential. Another problem in the reporting of cloud-based data exhibits is how to ensure both anonymity and traceability. We aim to provide a robust method for secure sharing and storage of potentially sensitive anonymous cloud data with some target entity by no more than one individual or legal corporation. The proposed solution in this regard is group signature along with key arrangement to introduce an effective traceable approach for sharing data among a group of users, their cooperation can remain anonymous on public clouds. Members can communicate anonymously with respect to the group signature when necessary, and optionally reveal their true identity. In addition, a shared teleconference key is created by Key Agreement to allow the group members secure data interchange and storage. Importantly, the grunt work to find a common conference key among participants is greatly reduced when an asymmetric-balancing unfinished block design approach for generating keys. Theoretical and experimental studies show that the method is safe and effective in group data sharing for cloud computing.