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screenshots for ensuring data storage security in cloud computing

Abstract

Ensuring data storage security in cloud computing project explains about a concept of implementing a new method to provide security for data in cloud computing by considering different issues like byzantine failure, malicious data modification attacks and attacks from cloud server. In present trend cloud computing is the fast growing technology where most of the IT companies are moving their application software and database to large cloud computing data centers. Cloud computing provides solutions for many problems but there are few key areas in term of security for providing quality of service for users. Cloud computing provides many new challenges for improving security of data from attacks. In this project we mainly concentrate on security issues and explain about using homomorphic token with distributed verification of erasure code data. Using homomorphic token improves security in terms of finding out misbehaving servers, security operations on data blocks including security for updating, deleting and modifying data.This project is implemented in java platform , students can use use video file to know more about project execution.For this project we provide entire project documentation, source code, system analysis, sample screen shots, hardware and software specifications, input and output design documents for free download.

Introduction

Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible distributed scheme with two salient features, opposing to its predecessors. By utilizing the homomorphic token with distributed verification of erasure-coded data, our scheme achieves the integration of storage correctness insurance and data error localization, i.e., the identification of misbehaving server (s). Unlike most prior works, the new scheme further supports secure and efficient dynamic operations on data blocks, including: data update, delete and append. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.