Quantifying the Impact of External Attacks on a Distributed Automatic Track Warning System

Research Area: Uncategorized Year: 2015
Type of Publication: In Proceedings
Authors: Leonardo Montecchi; Paolo Lollini; Andrea Bondavalli
Book title: International Workshop on Recent Advances in the DependabIlity AssessmeNt of Complex systEms (RADIANCE'15)
Pages: 33-38
Month: June, 22th
BibTex:
Note:
© IEEE, 2015. This is the author's version of the work. It is posted here by permission of IEEE for your personal use. Not for redristibution. The final publication is available at ieeexplore.ieee.org
Abstract:
For several years, the vulnerability of Critical Infrastructures (CIs) to cyber-threats has been limited, since they were mostly isolated systems, using proprietary protocols. Nowadays, CIs are increasingly threatened by external attacks: the use of off-the-shelf components is common, they have become interconnected, and sometimes also connected to the Internet. This problem is exacerbated by the recent trend towards the adoption of wireless connectivity and mobile devices, which is gaining interest also in this domain. One of the main challenges is to quantify the impact that external attacks may have on the infrastructure, and ensure that its dependability and safety equirements can still be fulfilled. In this paper we focus on the ALARP system, which protects workers on the railway infrastructure using distributed mobile terminals, and evaluate the impact of two attacks to the communication infrastructure. In performing such analysis, we experiment with a new method, which combines a stochastic model of the system with a model of the attacker, and quantifies the impact of specific attacks on precise safety and availability metrics.
Full text: radiance2015.pdf

Resilient Computing Lab, 2011

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