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Assessment of Regression-based Techniques for Data Location Verification at Country-Level

Irain, Malik and Mammeri, Zoubir and Jorda, Jacques Assessment of Regression-based Techniques for Data Location Verification at Country-Level. (2018) In: 6th International Conference on Wireless Networks and Mobile Communications (WINCOM 2018), 16 October 2018 - 19 October 2018 (Marrakesh, Morocco).

(Document in English)

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Official URL: https://doi.org/10.1109/WINCOM.2018.8629684


Data storage in the Cloud became a very popular service. However, delegation of data management results in loss of control from user perspective, in particular regarding the real location where data are stored. Thus, data location verification in the Cloud is a challenging issue. Among the huge methods proposed to consider data location verification, this paper focuses on machine learning based methods, which use network Round Trip Times as main metric. In particular, it provides experimental results based on country-wide dataset collected through Grid'5000 platform. Results show the capacities of regression-based methods to support data location verification at specific accuracy depending on user requirements.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02089272
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited By: IRIT IRIT
Deposited On:11 Mar 2019 13:38

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