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A Privacy Preserving Representation for Web Service Communicators’ in the Cloud

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Quality, Reliability, Security and Robustness in Heterogeneous Networks (QShine 2013)

Abstract

The present paper focuses on maintaining one’s data secrecy in cloud storage area and it may depend on their privacy policy and standards. The effectiveness and efficiency of preserved data from different cloud providers should maintain the integrity of original data stored in it. In the era of could computing, stored information’s value, proficiency and optimization of data retrieving spotlights the importance of maintaining cloud users data, privacy, identity, reliability and maintainability it may vary for different Cloud providers (CP). Giant CP ensures their user proprietary information’s are sustained more secretly using cloud technologies. During third party cloud services and exodus between inter cloud providers may lead to data portability privacy issue. More remarkable event in this case, even the cloud providers don’t have implication about the information and records where it’s stored and maintained in their own cloud. This is one of the obligatory research issue in cloud computing. We came frontward by proposing (EMPPC) an Evolutionary model based privacy Preserving technique and try to hold user’s, to have trust in providers for maintaining their confidentiality in cloud. This proposal helps the CR (Cloud Requester and Users) to mark trust on their proprietary information and data’s stored in cloud.

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Chandramohan, D., Vengattaraman, T., Rajaguru, D., Baskaran, R., Dhavachelvan, P. (2013). A Privacy Preserving Representation for Web Service Communicators’ in the Cloud. In: Singh, K., Awasthi, A.K. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37949-9_44

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  • DOI: https://doi.org/10.1007/978-3-642-37949-9_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37948-2

  • Online ISBN: 978-3-642-37949-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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