Change search
ReferencesLink to record
Permanent link

Direct link
SHIELD: a data verification framework for participatory sensing systems
KTH, School of Electrical Engineering (EES), Communication Networks. (LCN)ORCID iD: 0000-0003-2624-7522
KTH, School of Electrical Engineering (EES), Communication Networks. (LCN)
KTH, School of Electrical Engineering (EES), Communication Networks. (LCN)
2015 (English)In: WiSec '15 Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks, ACM Digital Library, 2015Conference paper (Refereed)
Abstract [en]

The openness of PS systems renders them vulnerable to malicious users that can pollute the measurement collection process, in an attempt to degrade the PS system data and, overall, its usefulness. Mitigating such adversarial behavior is hard. Cryptographic protection, authentication, authorization, and access control can help but they do not fully address the problem. Reports from faulty insiders (participants with credentials) can target the process intelligently, forcing the PS system to deviate from the actual sensed phenomenon. Filtering out those faulty reports is challenging, with practically no prior knowledge on the participants' trustworthiness, dynamically changing phenomena, and possibly large numbers of compromised devices. This paper proposes SHIELD, a novel data verification framework for PS systems that can complement any security architecture. SHIELD handles available, contradicting evidence, classifies efficiently incoming reports, and effectively separates and rejects those that are faulty. As a result, the deemed correct data can accurately represent the sensed phenomena, even when 45% of the reports are faulty, intelligently selected by coordinated adversaries and targeted optimally across the system's coverage area.

Place, publisher, year, edition, pages
ACM Digital Library, 2015.
Keyword [en]
Participatory sensing, Privacy, Security
National Category
Engineering and Technology
Research subject
Civil and Architectural Engineering
Identifiers
URN: urn:nbn:se:kth:diva-181066DOI: 1145/2766498.2766503ScopusID: 2-s2.0-84962016500ISBN: 978-1-4503-3623-9OAI: oai:DiVA.org:kth-181066DiVA: diva2:898322
Conference
WiSec '15 Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks
Note

QC 20160223

Available from: 2016-01-27 Created: 2016-01-27 Last updated: 2016-05-27Bibliographically 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.
Series
TRITA-EE, ISSN 1653-5146 ; 2016:014
National Category
Computer Systems
Research subject
Education and Communication in the Technological Sciences; Electrical Engineering
Identifiers
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)
Opponent
Supervisors
Note

QC 20160229

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

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Gisdakis, StylianosGiannetsos, ThanassisPapadimitratos, Panagiotis
By organisation
Communication Networks
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 55 hits
ReferencesLink to record
Permanent link

Direct link