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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

An Approach to Analyze Data Corruption and Identify Misbehaving Server

verfasst von : Nishi Patel, Gaurang Panchal

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

Verlag: 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. This study focuses different perspective of storing data on virtual cloud to maintain integrity by storing the fragments of address of data. Hence, the data remains secure and only the address of the data is transmitted when divided in fragments and data is secured with encryption, so it would be difficult for third party to decrypt and access on server. Thus, security level has been increased on cloud platform though data stored on server is more secure and integrity is maintained throughout the cloud platform.

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Metadaten
Titel
An Approach to Analyze Data Corruption and Identify Misbehaving Server
verfasst von
Nishi Patel
Gaurang Panchal
Copyright-Jahr
2018
Buch
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-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-63673-3_33

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