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SHIELD: a data verification framework for participatory sensing systems
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsnät. (LCN)ORCID-id: 0000-0003-2624-7522
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsnät. (LCN)
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsnät. (LCN)ORCID-id: 0000-0002-3267-5374
2015 (Engelska)Ingår i: WiSec '15 Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks, ACM Digital Library, 2015Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
ACM Digital Library, 2015.
Nyckelord [en]
Participatory sensing, Privacy, Security
Nationell ämneskategori
Teknik och teknologier
Forskningsämne
Byggvetenskap
Identifikatorer
URN: urn:nbn:se:kth:diva-181066DOI: 10.1145/2766498.2766503Scopus ID: 2-s2.0-84962016500ISBN: 978-1-4503-3623-9 (tryckt)OAI: oai:DiVA.org:kth-181066DiVA, id: diva2:898322
Konferens
WiSec '15 Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks
Anmärkning

QC 20160223

Tillgänglig från: 2016-01-27 Skapad: 2016-01-27 Senast uppdaterad: 2017-06-02Bibliografiskt granskad
Ingår i avhandling
1. Secure and Privacy Preserving Urban Sensing Systems
Öppna denna publikation i ny flik eller fönster >>Secure and Privacy Preserving Urban Sensing Systems
2016 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
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)

Ort, förlag, år, upplaga, sidor
Stockholm: KTH Royal Institute of Technology, 2016. s. 48
Serie
TRITA-EE, ISSN 1653-5146 ; 2016:014
Nationell ämneskategori
Datorsystem
Forskningsämne
Teknikvetenskapens lärande och kommunikation; Elektro- och systemteknik
Identifikatorer
urn:nbn:se:kth:diva-181100 (URN)978-91-7595-860-6 (ISBN)
Disputation
2016-02-25, Horsal F3, Lindstedtsvägen 26, KTH, Stockholm, 13:00 (Engelska)
Opponent
Handledare
Anmärkning

QC 20160229

Tillgänglig från: 2016-01-29 Skapad: 2016-01-28 Senast uppdaterad: 2016-02-05Bibliografiskt granskad

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Totalt: 234 träffar
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