Enabling Ternary Hash Tree based Integrity Verification for Secure Cloud Data Storage
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Product Description
Aim
The main aim of this project is to provide a reliable and secure cloud service and also increase trustworthiness of certifications by Continuous Automatic Auditing.
Synopsis
Cloud Computing enables the remote users to access data, services, and applications in on-demand from the shared pool of configurable computing resources, without the consideration of storage, hardware and software management. On the other hand, it is not easy for cloud users to identify whether Cloud Service Provider's (CSP) tag along with the data security legal expectations. So, cloud users could not rely on CSP's in terms of trust. So, it is significant to build a secure and efficient data auditing framework for increasing and maintaining cloud users trust with CSP. Researchers suggested introducing Third Party Auditor (TPA) on behalf of cloud user for verifying the outsourced data integrity, which may reduce the computation overhead of cloud users. In this work, we proposed a novel integrity verification framework for securing cloud storage based on Ternary Hash Tree (THT) and Replica based Ternary Hash Tree (R-THT), which will be used by TPA to perform data auditing. Differing from existing work, the proposed framework performs Block-level, File-level and Replica-level auditing with tree block ordering, storage block ordering for verifying the data integrity and ensuring data availability in the cloud.
Implementation
In MultiCloud environment, remote data integrity checking is required to secure user’s data. User will upload file to Cloud. This file is split into blocks using Dynamic Block generation Algorithm. The Blocks are stored in Ternary Hash Tree (THT) format.
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The Delivery time for Hardware Mini projects is 7-8 working days.