A Secured Data Processing Technique for Effective Utilization of Cloud Computing
Résumé
Digital humanities require IT Infrastructure and sophisticated analytical tools, including data
visualization, data mining, statistics, text mining and information retrieval. Regarding funding, to
build a local data center will necessitate substantial investments. Fortunately, there is another option
that will help researchers take advantage of these IT services to access, use and share information
easily. Cloud services ideally offer on-demand software and resources over the Internet to read and
analyze ancient documents. More interestingly, billing system is completely flexible and based on
resource usage and Quality of Service (QoS) level. In spite of its multiple advantages, outsourcing
computations to an external provider arises several challenges. Specifically, security is the major
factor hindering the widespread acceptance of this new concept. As a case study, we review the use of
cloud computing to process digital images safely. Recently, various solutions have been suggested to
secure data processing in cloud environement. Though, ensuring privacy and high performance needs
more improvements to protect the organization's most sensitive data. To this end, we propose a
framework based on segmentation and watermarking techniques to ensure data privacy. In this respect,
segementation algorithm is used to to protect client's data against untauhorized access, while
watermarking method determines and maintains ownership. Consequentely, this framework will
increase the speed of development on ready-to-use digital humanities tools.
Domaines
Cryptographie et sécurité [cs.CR]
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A novel approach based on segmentation for securing medical image processing over cloud.pdf (544.97 Ko)
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