SHIELD: A Data Verification Framework for Participatory Sensing Systems

Gisdakis, S, Giannetsos, A and Papadimitratos, P (2015) SHIELD: A Data Verification Framework for Participatory Sensing Systems In: 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks, 2015-06-24 - 2015-06-26, New York City, USA.

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Abstract

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.

Item Type:	Conference or Workshop Item (Conference Paper)
Subjects :	Computing Science
Divisions :	Faculty of Engineering and Physical Sciences > Computing Science
Authors :	Name Email ORCID Gisdakis, S Giannetsos, A Papadimitratos, P
Date :	2015
DOI :	10.1145/2766498.2766503
Copyright Disclaimer :	© ACM 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks, http://dx.doi.org/10.1145/2766498.2766503
Contributors :	Contribution Name Email ORCID ACM,
Uncontrolled Keywords :	Participatory Sensing; Security; Privacy
Depositing User :	Symplectic Elements
Date Deposited :	13 Jul 2016 17:59
Last Modified :	31 Oct 2017 18:27
URI:	http://epubs.surrey.ac.uk/id/eprint/811210

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