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2018 | OriginalPaper | Chapter

File Distribution Preparation with File Retrieval and Error Recovery in Cloud Environment

Authors : Shital Mehta, Gaurang Panchal

Published in: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1

Publisher: Springer International Publishing

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Abstract

Many studies have derived multiple ways to achieve security in the server and integrating the data in multiple servers by detecting the misbehavior in the server. The data is secured on server using encryption techniques before dividing into fragments before storing on virtual cloud. The fragments in which data is divided could be big or small. For encryption technique I had used Reed Solomon codes to encrypt fragmented data. After using encryption they are stored into different servers. Whenever user will challenge for its particular file, Cloud Service Provider will provide that file in original form. If that data chunk from particular file or file is corrupted on any server so using Reed Solomon Code we can repair our corrupted data or file. So, whenever attacker might attack on the server he might get small portion of that file in encrypted form which is not useful for him. He did not get original file from one server because that particular file fragments are dispersed on different servers. This ensures data security to cloud servers, cloud customers important information. It will also provide security from cloud service provider. And if any misbehavior of server is occurred or any file fragment is corrupted can be detected with automated tools and it can be also traced that on which server the file fragment is corrupted. Hence, in any way the data stored on server is more secure on cloud platform.

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previous chapter Employee Attrition Analysis Using Predictive Techniques

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Title: File Distribution Preparation with File Retrieval and Error Recovery in Cloud Environment
Authors: Shital Mehta
Gaurang Panchal
Publisher: Springer International Publishing
Book: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1
Print ISBN: 978-3-319-63672-6

Electronic ISBN: 978-3-319-63673-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-63673-3_36

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