Data Deduplication in Cloud Environment - Kaur, Gagandeep
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The cloud storage services are used to store intermediate and persistent data generated from various resources including servers and IoT based networks. The outcome of such developments is that the data gets duplicated and gets replicated rapidly, especially when large number of cloud users are working in a collaborative environment to solve large scale problems in geo-distributed work locations. The data is prone to breach of the privacy and high incidence of duplications. When the dynamics of cloud services change over period of time, the ownership and proof of identity operations also need…mehr

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Produktbeschreibung
The cloud storage services are used to store intermediate and persistent data generated from various resources including servers and IoT based networks. The outcome of such developments is that the data gets duplicated and gets replicated rapidly, especially when large number of cloud users are working in a collaborative environment to solve large scale problems in geo-distributed work locations. The data is prone to breach of the privacy and high incidence of duplications. When the dynamics of cloud services change over period of time, the ownership and proof of identity operations also need to change and work dynamically for high degree of security. In this work we have studied the concepts, methods and the schemes that can make the cloud services secure and improve the Data Duplication process. The proposed scheme works for Deduplication of data with arithmetic key validity operations that helps to check complexity of the keys so that it is hard to break the keys.
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Autorenporträt
Soy becario de investigación en la Universidad de Chandigarh. He completado mi Master en la Universidad Técnica de Punjab. Mi área de investigación son los servicios basados en la localización, la privacidad, la seguridad y la computación en nube.