Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Data Verification andPrivacy-respecting User Remuneration in Mobile Crowd Sensing
KTH, School of Electrical Engineering (EES), Communication Networks. (Networked Systems Security)ORCID iD: 0000-0003-2624-7522
KTH, School of Electrical Engineering (EES), Communication Networks. (Networked Systems Security)ORCID iD: 0000-0002-3267-5374
KTH, School of Electrical Engineering (EES), Communication Networks. (Networked Systems Security)
2015 (English)Report (Other academic)
Abstract [en]

The broad capabilities of current mobile devices have paved the way forMobile Crowd Sensing (MCS) applications. The success of this emergingparadigm strongly depends on the quality of received data which, in turn, iscontingent to mass user participation; the broader the participation, the moreuseful these systems become. This can be achieved if users are gratified fortheir contributions while being provided with strong guarantees for the securityand the privacy of their sensitive information. But this very openness is adouble-edge sword: any of the participants can be adversarial and pollute thecollected data in an attempt to degrade the MCS system output and, overall,its usefulness. Filtering out faulty reports is challenging, with practically noprior knowledge on the participants trustworthiness, dynamically changingphenomena, and possibly large numbers of compromised devices. This workpresents a holistic framework that can assess user-submitted data and siftmalicious contributions while offering adequate incentives to motivate usersto submit better quality data. With a rigorous assessment of our systemâAZssecurity and privacy protection complemented by a detailed experimentalevaluation, we demonstrate its accuracy, practicality and scalability. Overall,our framework is a comprehensive solution that significantly extends thestate-of-the-art and can catalyze the deployment of MCS applications.

Place, publisher, year, edition, pages
2015. , 15 p.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-181098OAI: oai:DiVA.org:kth-181098DiVA: diva2:898641
Note

QC 20160129

Available from: 2016-01-28 Created: 2016-01-28 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.
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

fulltext(2668 kB)181 downloads
File information
File name FULLTEXT01.pdfFile size 2668 kBChecksum SHA-512
b8bf5b9fc4b0f2fe2f9d143b0c2a31765c56fe3633f4ac68508d3d3110f9a499994ea8273e12e56902d83d5a04b9add040995bcc7776d2dd2e433680873b7bdb
Type fulltextMimetype application/pdf

Authority records BETA

Gisdakis, Stylianos

Search in DiVA

By author/editor
Gisdakis, StylianosPapadimitratos, PanosGiannetsos, Athanasios
By organisation
Communication Networks
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 181 downloads
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

urn-nbn

Altmetric score

urn-nbn
Total: 871 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf