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A Scalable Search Engine for the Personal Cloud

Saliha Lallali 1, 2
1 SMIS - Secured and Mobile Information Systems
PRISM - Parallélisme, Réseaux, Systèmes, Modélisation, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : 8144
Abstract : The emerging Personal Cloud paradigm holds the promise of a Privacy-by-Design storage and computing platform where personal data remains under the individual's control while being shared by valuable applications. However, leaving the data management control to user's hands pushes the security issues to the user's platform, i.e., the Personal server. This Personal server is in charge of organizing the personal dataspace in a document database style to ease its management, to allow crossing data from multiple "local silos" and to protect it against loss, theft and abusive use. Hence, encryption/decryption, metadata management (e.g., indexing and searching the documents) and access control management is under the responsibility of the Personal server. In this thesis, we propose a Secure Personal Cloud platform relying on a query and access control engine embedded in a tamper resistant hardware device connected to the user's platform. Such devices are generally equipped with extremely low RAM and large Flash storage capacity, which lead to conflicting hardware constraints. To tackle these constraints, conventional search engines privilege either insertion or query scalability but cannot meet both requirements at the same time. Thus, to become reality, the Secure Personal Cloud has to overpass two main difficulties. The first difficulty lays in the design of an inverted document index capable of tackling the strong hardware constraints of secure devices, and reach update and query scalability at the same time. Second, the access control has to be carefully integrated with the embedded search engine to ensure the security, but without hampering the query and update performance. We have implemented our engine on a secure token having a hardware configuration representative of tamper resistant devices and have conducted extensive experiments using real, large document collections. The experimental results demonstrate the scalability of the approach and its superiority compared to state of the art methods.
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Submitted on : Friday, January 6, 2017 - 9:06:18 AM
Last modification on : Wednesday, November 3, 2021 - 6:31:38 AM
Long-term archiving on: : Friday, April 7, 2017 - 12:47:14 PM


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  • HAL Id : tel-01426486, version 2



Saliha Lallali. A Scalable Search Engine for the Personal Cloud. Computer science. Université Paris-Saclay, 2016. English. ⟨NNT : 2016SACLV009⟩. ⟨tel-01426486v2⟩



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