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Employing GPU Accelerators for Efficient Enforcement of Data Integrity in Outsourced Data

Krishna Prasanth R, R. Mukkamala, P. K. Baruah
Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, India
IEEE International Conference on High Performance Computing (HiPC), 2012

@article{krishna2012employing,

   title={Employing GPU Accelerators for Efficient Enforcement of Data Integrity in Outsourced Data},

   author={Krishna Prasanth, R. and Mukkamala, R. and Baruah, PK},

   year={2012}

}

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Cloud computing provides on-demand webbased software, middleware, and computing resources. It is a service-oriented model and one of its service is Data as a Service (DaaS), also known as Outsourced Database (ODB) model. Although DaaS solves the problem of storing terabytes of data, the security of the data is a major concern for all the users of the service. Of the several security concerns, privacy and data integrity are the focus of this paper. The privacy and integrity enforcement module introduced in this paper resides on users’ computing devices. It performs the desired integrity checks to ensure that the data has not been tampered with at the cloud provider. Here, we explore the benefit of implementing the module on a multicore platform with GPUs, thereby exploiting its inherent parallelism. The speed up is observed to be from 1 to 12 depending on the system architecture and the data size-larger is the data size, higher is the speedup.
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