Mahmoud Fahsi

Work place: EEIDIS Laboratory, Djillali Liabes University, Sidi Bel Abbes, 22000, Algeria.



Research Interests: Information Retrieval, Multimedia Information System, Social Information Systems


Mahmoud Fahsi: PhD student at EEDIS laboratory, Djillali Liabes University, and also an Assistant at the Computer Science Department, Taher Moulay university, Algeria. Interested by information retrieval query reformulation and privacy research area.

Author Articles
A Framework for Homomorphic, Private Information Retrieval Protocols in the Cloud

By Mahmoud Fahsi Sidi Mohamed Benslimane Amine Rahmani

DOI:, Pub. Date: 8 May 2015

Professional use of cloud health storage around the world implies Information-Retrieval extensions. These developments should help users find what they need among thousands or billions of enterprise documents and reports. However, extensions must offer protection against existing threats, for instance, hackers, server administrators and service providers who use people’s personal data for their own purposes. Indeed, cloud servers maintain traces of user activities and queries, which compromise user security against network hackers. Even cloud servers can use those traces to adapt or personalize their platforms without users’ agreements. For this purpose, we suggest implementing Private Information Retrieval (PIR) protocols to ease the retrieval task and secure it from both servers and hackers. We study the effectiveness of this solution through an evaluation of information retrieval time, recall and precision. The experimental results show that our framework ensures a reasonable and acceptable level of confidentiality for retrieval of data through cloud services.

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Other Articles