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Security, Privacy, and Incentive Provision for Mobile Crowd Sensing Systems
KTH, School of Electrical Engineering (EES), Communication Networks. Networked Systems Security Group.ORCID iD: 0000-0003-2624-7522
KTH, School of Electrical Engineering (EES), Communication Networks. Networked Systems Security Group.
KTH, School of Electrical Engineering (EES), Communication Networks. Networked Systems Security Group.ORCID iD: 0000-0002-3267-5374
2016 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 3, no 5, 839-853 p., 7463023Article in journal (Refereed) Published
Abstract [en]

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, privacy-preservation 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 an MCS architecture that is resilient to abusive users and guarantees privacy protection even against multiple misbehaving and intelligent MCS entities (servers). In this paper, 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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 3, no 5, 839-853 p., 7463023
Keyword [en]
Incentive mechanisms, mobile crowd sensing (MCS), privacy, security, Mobile devices, Experimental evaluation, Incentive mechanism, Privacy preservation, Privacy protection, Security and privacy, Strong securities, Data privacy
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-195308DOI: 10.1109/JIOT.2016.2560768ISI: 000393047800020Scopus ID: 2-s2.0-84987788615OAI: oai:DiVA.org:kth-195308DiVA: diva2:1045721
Note

QC 20161110

Available from: 2016-11-10 Created: 2016-11-02 Last updated: 2017-03-02Bibliographically approved

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