Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation

Abstract

Cloud computing is the protracted revelation of computing as effectiveness, where data owners can remotely store their data. The essential service presents by the Cloud is Data Storage. On the other hand, it is a tricky task for sharing data in multi-owner manner anywhere group admin and all group members can store and alter data while protecting data and identity privacy from an untrusted cloud server, due to the frequent change of the membership. So secure multi-owner data sharing scheme for dynamic groups in the cloud computing have been projected which absorb addition of group signature and broadcast encryption techniques. However this system also recognized some boundaries in terms of competence and security. since multi-owner data storing and sharing in a dynamic surroundings dumps enormous amount of data files in the cloud, which leftovers in cloud for imprecise period of time. The confidential information stored may changed by service providers. To maintain cloud file’s security and privacy regular elimination of unwanted files is needed. To determine this drawback we propose new framework which is Reliable and Scalable Secure Method to Store and Share Secrete Data for groups in Cloud i.e  MONA that remove unnecessary files automatically when the predefined time period for sharing specified by data owner has been run out which improve performance of the system in terms of security and efficiency. Also this method decreases the overhead at the time of upload and download file in the cloud. At last proposed method by name Multi Owner Data Sharing Over Cloud (MODOC) declares required efficiency and most importantly security. We apply a working prototype of the MODOC method and assess its performance based on the time addicted during various operations The results give you an idea about that MODOC has the prospective to be effectively used for secure data sharing in the cloud.