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    Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud

    • B.TECH / M.TECH / M.SC / PH.D

    •  GANGADHAR.T

    • 11 Months ago

    Attribute-based encryption (ABE) has been widely used in cloud computing where a data provider outsources his/her encrypted data to a cloud service provider, and can share the data with users possessing specific credentials (or attributes). However, the standard ABE system does not support secure deduplication, which is crucial for eliminating duplicate copies of identical data in order to save storage space and network bandwidth.

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    HDM: A Composable Framework for Big Data Processing

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    Over the past years, frameworks such as MapReduce and Spark have been introduced to ease the task of developing big data programs and applications.

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    Heterogeneous Data Storage Management with Deduplication in Cloud Computing

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    Cloud storage as one of the most important services of cloud computing helps cloud users break the bottleneck of restricted resources and expand their storage without upgrading their devices. In order to guarantee the security and privacy of cloud users, data are always outsourced in an encrypted form.

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    Secure k-NN Query on Encrypted Cloud Data with Multiple Keys

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 13 Months ago

    The k-nearest neighbors (k-NN) query is a fundamental primitive in spatial and multimedia databases. It has extensive applications in location-based services, classification & clustering and so on

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    NPP A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users

    • B.Tech / M.Tech / M.Sc / Ph.D

    •  GANGADHAR.T

    • 12 Months ago

    Today, cloud storage becomes one of the critical services, because users can easily modify and share data with others in cloud. However, the integrity of shared cloud data is vulnerable to inevitable hardware faults, software failures or human errors

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