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Towards a formal notion of impact metric for cyber-physical attacks

Contributo in Atti di convegno
Data di Pubblicazione:
2018
Abstract:
Industrial facilities and critical infrastructures are transforming into “smart” environments that dynamically adapt to external events. The result is an ecosystem of heterogeneous physical and cyber components integrated in cyber-physical systems which are more and more exposed to cyber-physical attacks, i.e., security breaches in cyberspace that adversely affect the physical processes at the core of the systems. We provide a formal compositional metric to estimate the impact of cyber-physical attacks targeting sensor devices of IoT systems formalised in a simple extension of Hennessy and Regan’s Timed Process Language. Our impact metric relies on a discrete-time generalisation of Desharnais et al.’s weak bisimulation metric for concurrent systems. We show the adequacy of our definition on two different attacks on a simple surveillance system.
Tipologia CRIS:
Relazione (in Volume)
Keywords:
Cyber-physical attack; Impact metric; IoT system; Probabilistic metric semantics;
Elenco autori:
Lanotte, Ruggero; Merro, Massimo; Tini, Simone
Autori di Ateneo:
LANOTTE RUGGERO
TINI SIMONE
Link alla scheda completa:
https://irinsubria.uninsubria.it/handle/11383/2073451
Titolo del libro:
Integrated Formal Methods - 14th International Conference, IFM 2018
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
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Dati Generali

URL

https://www.springer.com/series/558
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