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The Data of Things: Strategies, Patterns and Practice of Cloud-based Participatory Sensing

Giannetsos, Athanasios and Michalas, A (2016) The Data of Things: Strategies, Patterns and Practice of Cloud-based Participatory Sensing In: ICIIT 2016, 2016-03-04 - 2016-03-04, OZO Colombo.

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Abstract

The broad capabilities of current mobile devices have paved the way for Mobile Crowd Sensing (MCS) applications. The success of this emerging paradigm strongly depends on the quality of received data which, in turn, is contingent to mass user participation; the broader the participation, the more useful these systems become. However, there is an ongoing trend that tries to integrate MCS applications with emerging computing paradigms such as cloud computing. The intuition is that such a transition can significantly improve the overall efficiency while at the same time it offers stronger security and privacy-preserving mechanisms for the end-user. In this position paper, we dwell on the underpinnings of incorporating cloud computing techniques to facilitate the vast amount of data collected in MCS applications. That is, we present a list of core system, security and privacy requirements that must be met if such a transition is to be successful. To this end, we first address several competing challenges not previously considered in the literature such as the scarce energy resources of batterypowered mobile devices as well as their limited computational resources that they often prevent the use of computationally heavy cryptographic operations and thus offering limited security services to the end-user. Finally, we present a use case scenario as a comprehensive example. Based on our findings, we posit open issues and challenges, and discuss possible ways to address them, so that security and privacy do not hinder the migration of MCS systems to the cloud.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Computer Science
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
NameEmailORCID
Giannetsos, Athanasiosa.giannetsos@surrey.ac.ukUNSPECIFIED
Michalas, AUNSPECIFIEDUNSPECIFIED
Date : 2016
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 01 Mar 2017 16:57
Last Modified : 31 Oct 2017 19:10
URI: http://epubs.surrey.ac.uk/id/eprint/813663

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