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Tiny Twins for detecting cyber-attacks at runtime using concise Rebeca time transition

Fulltext:


Authors:

Fereidoun Moradi, Bahman Pourvatan , Sara Abbaspour, Marjan Sirjani

Research group:

Cyber-Physical Systems Analysis

Publication Type:

Journal article

Venue:

Journal of Parallel and Distributed Computing

Abstract

This paper presents a method for detecting cyber-attacks in cyber-physical systems using a monitor. The method employs an abstract model called Tiny Twin, which is built at design time and is used at runtime to detect inconsistencies. Tiny Twin is a state transition system that represents the observable behavior of the system from the monitor point of view. We model the behavior of the system in the Rebeca modeling language and use Afra model checker to generate the state space. The Tiny Twin is built automatically, by abstracting the state space while keeping the observable actions and preserving the trace equivalence. For doing that we had to solve the complexities in the state space introduced by time-shifts, nondeterministic assignments and abstraction of internal actions. We formally define the state space as Concise Rebeca Timed Transition System (CRTTS), and then map CRTTS to an LTS. The LTS is then fed to a tool to abstract away the non-observable actions.

Bibtex

@article{Moradi6874,
author = {Fereidoun Moradi and Bahman Pourvatan and Sara Abbaspour and Marjan Sirjani},
title = {Tiny Twins for detecting cyber-attacks at runtime using concise Rebeca time transition},
volume = {185},
month = {February},
year = {2024},
journal = {Journal of Parallel and Distributed Computing},
url = {http://www.es.mdu.se/publications/6874-}
}