Enabling Identity-based Integrity Verification Data Sharing Model using TPA and Batch Auditing Protocol T Poongothai 1 , 1 Professor, Department of Computer Science and Engineering K.S.R. College of Engineering Tiruchengode, India S. Prakashraj 2 , E. Preetha 3 , J. Priyangaa 4 2,3,4 UG Students Department of Computer Science and Engineering K.S.R College of Engineering Tiruchengode, India Abstract: In cloud storage services, users store their data remotely to the cloud and realize the data sharing with others. In Electronic Health Records (EHRs) system, the cloud file might contain some sensitive information. The sensitive information should not be known to others when the cloud file is shared. Encrypting the whole shared file realizes the sensitive information hiding, but will make this shared file unable to be used by others. How to realize data sharing with sensitive information hiding in remote data integrity auditing still has not been explored up to now. In order to address this problem, this paper proposes a remote data integrity auditing scheme that realizes data sharing with sensitive information hiding. Thus, enabling public auditability for cloud storage is of critical importance so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be worry-free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities towards user data privacy, and introduce no additional online burden to user. This paper proposes a secure cloud storage system supporting privacy-preserving public auditing and extend our result to enable the TPA to perform audits for multiple users simultaneously and efficiently. In addition, it articulates performance optimization mechanisms for this scheme, and in particular present an efficient method for selecting optimal parameter values to minimize the computation costs of clients and storage service providers. It shows that the solution introduces lower computation and communication overheads in comparison with non- cooperative approaches. Keywords— Auditing protocol, Cloud storage, Data sharing, TPA. I. INTRODUCTION Cloud computing is an attracting technology in the field of computer science. It is proven that cloud will bring changes to the IT industry. The cloud is changing our life by providing users with new types of services. Users get service from a cloud without paying attention to the details. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. More and more people pay attention to cloud computing. Cloud computing is efficient and scalable but maintaining the stability of processing so many jobs in the cloud computing environment is a very complex problem with load balancing receiving much attention for researchers. In this paper, the following four architectural patterns are distinguished: a. Replication of applications allows to receive multiple results from one operation performed in distinct clouds and to compare them within the own premise. This enables the user to get an evidence on the integrity of the result. b. Partition of application System into tiers allows separating the logic from the data. This gives additional protection against data leakage due to flaws in the application logic. c. Partition of application logic into fragments allows distributing the application logic to distinct clouds. This has two benefits. First, no cloud provider learns the complete application logic. Second, no cloud provider learns the overall calculated result of the application. Thus, this leads to data and application confidentiality. d. Partition of application data into fragments allows distributing fine-grained fragments of the data to distinct clouds. None of the involved cloud providers gains access to all the data, which safeguards the data’s confidentiality. Each of the introduced architectural patterns provides individual security merits, which map to different application scenarios and their security needs. Obviously, the patterns can be combined resulting in combined security merits, but also in higher deployment and runtime effort. The following sections present the four patterns in more detail and investigate their merits and flaws with respect to the stated security requirements under the assumption of one or more compromised cloud systems. The main objective of this paper is, • To set different trust level is set to different cloud providers and encryption/decryption is varied based on the clouds computational capability. • To take partial data of files from multiple mirror locations and send to selected client. • To reduce the risk for data and applications in a public cloud is the simultaneous usage of multiple clouds. International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Published by, www.ijert.org RTICCT - 2019 Conference Proceedings Volume 7, Issue 01 Special Issue - 2019 1