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Toward Reliable and Secure Data Access for Big Data Service

Abstract : Two innovative technologies have emerged on the last decade: Big Data and Cloud Computing. On the one hand, Big Data warrants innovative data analytics for a variety of new and existing data, providing real business benefits [4]. Digital traces from people and systems produce every day a massive volume of data collected from actions, sensors, algorithms, and social web. On the other hand, Cloud Computing has the potential to enhance business agility and productivity while enabling greater efficiencies and reducing costs. The convergence of Cloud Computing and Big Data technologies has envisioned to offer a cost-effective delivery model for Cloudbased Big Data analytics. However, this convergence imposes new challenges to the traditional security technologies that may need to be redesigned considering the current security models and tools [9]. In fact, Big Data-sets have made Big Data storage …
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Contributor : Ahmed Serhrouchni Connect in order to contact the contributor
Submitted on : Thursday, July 22, 2021 - 11:45:31 PM
Last modification on : Monday, January 24, 2022 - 8:26:31 AM


  • HAL Id : hal-03296928, version 1


Ahmed Serhrouchni, Fouad Amine Guenane, Michele Nogueira, Donghyun Kim. Toward Reliable and Secure Data Access for Big Data Service. Fei Hu. Big Data: Storage, Sharing, and Security, CRC Press, pp.227, 2016, 978-1-4987-3486-8. ⟨hal-03296928⟩



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