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 com- ponents 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.

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

Merro, M.
;
2018-01-01

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 com- ponents 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.
2018
Internet of Things
Cyber-physical attack
Impact metric
Probabilistic bisimulation metric
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/982782
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