Cryptanalysis Of An Anonymous And Traceable Group Data Sharing In Cloud Computing

Cloud computing is a relatively new service that enables users to remotely store data. Data privacy and security are two of the biggest concerns for people who use cloud services. In addition to being vulnerable to attacks launched from within the cloud itself, the security measures currently in place on the cloud platform as a whole are inadequate. Scheduling and data integrity issues are two additional challenges for current schemes. Additional work is needed to enhance the effectiveness of existing technical auditing alongside a variety of methods. However, this causes issues with privacy and the timeliness of data.In this paper, we schedule data using a first-come, first-serve (FCFS) mechanism, which boosts system efficiency and allows for parallel processing. Also, the Crisscross Advanced Encryption Standard (CAES) is implemented for added safety. This method employs crisscross AES, which adds another layer of security to the cloud by way of the grid. Using crisscross AES and Collocate FCFS of supremacy elements, this proposed method improves the system’s efficiency and security. Public Integrity Auditing Group Signature and Secure Hash Algorithm (PIAGS-SHA2) is proposed for secure data integrity auditing. An additional layer of encryption is used in this method to ensure confidentiality when storing data in the cloud. Security is bolstered by breaking up a single file into multiple blocks and storing them under different names, making it more difficult for would-be intruders to track down the original data.