SHIELD: a data verification framework for participatory sensing systems
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)
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.
Participatory sensing, Privacy, Security
Engineering and Technology
Research subject Civil and Architectural Engineering
IdentifiersURN: 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
WiSec '15 Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks
QC 201602232016-01-272016-01-272016-05-27Bibliographically approved