Title: Ensuring cyber-security in smart railway surveillance with SHIELD

Authors: Francesco Delli Priscoli; Alessandro Di Giorgio; Mariana Esposito; Andrea Fiaschetti; Francesco Flammini; Silvano Mignanti; Concetta Pragliola

Addresses: University of Rome La Sapienza, Via Ariosto 25, Rome, Italy ' University of Rome La Sapienza, Via Ariosto 25, Rome, Italy ' Ansaldo STS, Via Argine 425, Naples, Italy ' University of Rome La Sapienza, Via Ariosto 25, Rome, Italy ' Ansaldo STS, Via Argine 425, Naples, Italy ' University of Rome La Sapienza, Via Ariosto 25, Rome, Italy ' Ansaldo STS, Via Argine 425, Naples, Italy

Abstract: Modern railways feature increasingly complex embedded computing systems for surveillance that are moving towards fully wireless smart-sensors. Those systems are aimed at monitoring system status from a physical-security viewpoint, in order to detect intrusions and other environmental anomalies. However, the same systems used for physical-security surveillance are vulnerable to cyber-security threats, since they feature distributed hardware and software architectures often interconnected by 'open networks', like wireless channels and the internet. In this paper, we show how the integrated approach to security, privacy and dependability (SPD) in embedded systems provided by the SHIELD framework (developed within the EU funded pSHIELD and nSHIELD research projects) can be applied to railway surveillance systems in order to measure and improve their SPD level. SHIELD implements a layered architecture (node, network, middleware and overlay) and orchestrates SPD mechanisms based on ontology models, appropriate metrics and composability. The results of prototypical application to a real-world demonstrator show the effectiveness of SHIELD and justify its practical applicability in industrial settings.

Keywords: security; privacy; dependability; railway; surveillance; SHIELD.

DOI: 10.1504/IJCCBS.2017.084928

International Journal of Critical Computer-Based Systems, 2017 Vol.7 No.2, pp.138 - 170

Received: 28 Jun 2016
Accepted: 28 Jun 2016
Published online: 09 Jul 2017 *

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