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SPPEAR: Security & privacy-preserving architecture for participatory-sensing applications
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)
2014 (English)In: WiSec 2014 - Proceedings of the 7th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2014, 39-50 p.Conference paper (Refereed)
Abstract [en]

Recent advances in sensing, computing, and networking have paved the way for the emerging paradigm of participatory sensing (PS). The openness of such systems and the richness of user data they entail raise significant concerns for their security, privacy 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 comprehensive solution. That is, a secure and accountable PS system that preserves user privacy, and enables the provision of incentives to the participants. At the same time, we are after a PS system that is resilient to abusive users and guarantees privacy protection even against multiple misbehaving PS entities (servers). We address these seemingly contradicting requirements with our SPPEAR architecture. Our full blown implementation and experimental evaluation demonstrate that SPPEAR is efficient, practical, and scalable. Last but not least, we formally assess the achieved security and privacy properties. Overall, our system is a comprehensive solution that significantly extends the state-of-the-art and can catalyze the deployment of PS applications.

Place, publisher, year, edition, pages
2014. 39-50 p.
Keyword [en]
anonymity, participatory sensing, privacy, security, Data privacy, Wireless networks, Experimental evaluation, Privacy protection, Privacy-preserving architectures, Security and privacy, User privacy, Network architecture
National Category
Communication Systems
URN: urn:nbn:se:kth:diva-167584DOI: 10.1145/2627393.2627402ScopusID: 2-s2.0-84907400964ISBN: 9781450329729OAI: diva2:815727
7th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2014, 23 July 2014 through 25 July 2014, Oxford

QC 20150601

Available from: 2015-06-01 Created: 2015-05-22 Last updated: 2016-01-29Bibliographically approved
In thesis
1. Secure and Privacy Preserving Urban Sensing Systems
Open this publication in new window or tab >>Secure and Privacy Preserving Urban Sensing Systems
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The emergence of resource-rich mobile devices and smart vehicles has paved the way for Urban Sensing. In this new paradigm, users, leveraging their sensing-capable devices, sense their environment and become part of an unprecedented large-scale network of sensors, with extensive spatial and temporal coverage, that enables the collection and dissemination of real-time information, potentially, from anywhere, about anything and at anytime. Urban sensing will facilitate the deployment of innovative applications aiming to address the ever-growing concerns for citizens' well-being by offering a better understanding of our activities and environment.

Nevertheless, the openness of such systems (ideally anyone can participate) and the richness of the data users contribute unavoidably raise significant concerns both about the security of urban sensing applications and the privacy of the participating users. More specifically, users participating in urban sensing applications are expected to contribute sensed data tagged, in many cases, with spatio-temporal information. Misusing such information could reveal sensitive user-specific attributes including their whereabouts, health condition, and habits and lead to extensive and unsolicited user profiling. At the same time, the participation of large numbers of users possessing sensing- capable devices is a double-edged sword: devices can be compromised or faulty or users can be adversarial seeking to manipulate urban sensing systems by submitting intelligently crafted faulty information.

This thesis considers security, resilience and privacy for urban sensing notably in two application domains: intelligent transportation systems and generic smartphone based crowd-sourced sensing applications. For these domains, we design, implement and evaluate provably secure and privacy-preserving solutions capable of protecting the users from the system (i.e., ensuring their privacy in the presence of untrustworthy infrastructure) and the system from malicious users (i.e., holding them accountable for possible system-offending actions)

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 48 p.
TRITA-EE, ISSN 1653-5146 ; 2016:014
National Category
Computer Systems
Research subject
Education and Communication in the Technological Sciences; Electrical Engineering
urn:nbn:se:kth:diva-181100 (URN)978-91-7595-860-6 (ISBN)
Public defence
2016-02-25, Horsal F3, Lindstedtsvägen 26, KTH, Stockholm, 13:00 (English)

QC 20160229

Available from: 2016-01-29 Created: 2016-01-28 Last updated: 2016-02-05Bibliographically approved

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