Smartphone Data Transfer Protection According to Jurisdiction Regulations

Eskandari, Mojtaba (2017) Smartphone Data Transfer Protection According to Jurisdiction Regulations. PhD thesis, University of Trento, SAP Labs France, France.

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Abstract

The prevalence of mobile devices and their capability to access high speed Internet have transformed them into a portable pocket cloud interface. The sensitivity of a user’s personal data demands adequate level of protection in the cloud. In this regard, the European Union Data Protection regulations (e.g., article 25.1) restricts the transfer of European users’ personal data to certain locations. The matter of concern, however, is the enforcement of such regulations. Since cloud service provision is independent of physical location and data can travel to various servers, it is a challenging task to determine the location of data and enforce jurisdiction policies. In this dissertation, first we demonstrate how mobile apps mishandle personal data collection and transfer by analyzing a wide range of popular Android apps in Europe. Then we investigate approaches to monitor and enforce the location restrictions of collected personal data. Since there are multiple entities such as mobile devices, mobile apps, data controllers and cloud providers in the process of collecting and transferring data, we study each one separately. We introduce design and prototyping of a suitable approach to perform or at least facilitate the enforcement procedure with respect to the duty of each entity. Cloud service providers, provide their infrastructure to data controllers in form of virtual machines or containers; therefore, we design and implemented a tool, named VLOC, to verify the physical location of a virtual machine in cloud. Since VLOC requires the collaboration of the data controller, we design a framework, called DLOC, which enables the end users to determine the location of their data after being transferred to the cloud and probably replicated. DLOC is a distributed framework which does not need the data controller or cloud provider to participate or modify their systems; thus, it is economical to implement and to be used widely.

Item Type:Doctoral Thesis (PhD)
Doctoral School:Information and Communication Technology
PhD Cycle:29
Subjects:Area 01 - Scienze matematiche e informatiche > INF/01 INFORMATICA
Repository Staff approval on:11 Jul 2017 16:40

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