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Security, Privacy & Incentive Provision for Mobile Crowd Sensing Systems

Gisdakis, S, Giannetsos, A and Papadimitratos, P (2016) Security, Privacy & Incentive Provision for Mobile Crowd Sensing Systems IEEE Internet of Things Journal, 3 (5). pp. 839-853.

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Abstract

Recent advances in sensing, computing, and networking have paved the way for the emerging paradigm of Mobile Crowd Sensing (MCS). The openness of such systems and the richness of data MCS users are expected to contribute to them raise significant concerns for their security, privacypreservation and resilience. Prior works addressed different aspects of the problem. But in order to reap the benefits of this new sensing paradigm, we need a holistic solution. That is, a secure and accountable MCS system that preserves user privacy, and enables the provision of incentives to the participants. At the same time, we are after a MCS architecture that is resilient to abusive users and guarantees privacy protection even against multiple misbehaving and intelligent MCS entities (servers). In this work, we meet these challenges and propose a comprehensive security and privacy-preserving architecture. With a full blown implementation, on real mobile devices, and experimental evaluation we demonstrate our system’s efficiency, practicality, and scalability. Last but not least, we formally assess the achieved security and privacy properties. Overall, our system offers strong security and privacy-preservation guarantees, thus, facilitating the deployment of trustworthy MCS applications.

Item Type: Article
Subjects : Computing Science
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Gisdakis, SUNSPECIFIEDUNSPECIFIED
Giannetsos, AUNSPECIFIEDUNSPECIFIED
Papadimitratos, PUNSPECIFIEDUNSPECIFIED
Date : 29 April 2016
Identification Number : 10.1109/JIOT.2016.2560768
Copyright Disclaimer : (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords : Mobile Crowd Sensing, Security, Privacy, Incentive Mechanisms
Depositing User : Symplectic Elements
Date Deposited : 13 Jul 2016 17:43
Last Modified : 16 Nov 2016 16:05
URI: http://epubs.surrey.ac.uk/id/eprint/811209

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