Privacy Preserving for Big Data in Mobile Cloud-Computing using Encryption Strategy

Divya L, Dr. Udaya Rani

Abstract


Big data applications are currently emerging technology in cloud computing. However working on big data applications brings its own challenge of privacy and security issues; larger data sizes leads to complex privacy issues. The implementation and adoption of these big data applications have redefined service models and enhanced application performances in several aspects. Data processing and transmissions reveal serious issues related to execution time of data encryption. Applications abstain from data encryptions to obtain an adoptive performance level conjunction with privacy concerns. This paper emphasizes on privacy and affirms atypical data encryption approach called Dynamic Data Encryption Strategy (D2ES). The performance of D2ES has been evaluated which confides the privacy enhancement. Our planned methodology is to selectively encrypt data and use privacy classification methods under timing constraints. This employs selective encryption strategy within the required execution time to capitalize the privacy protection scale.



Keywords


Big data, mobile cloud computing, Privacy-classification, encryption strategy.

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References


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DOI: https://doi.org/10.26483/ijarcs.v9i0.6255

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