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Title A New Model-Based Framework For Testing Security Of Iot Systems In Smart Cities Using Attack Trees And Price Timed Automata
ID_Doc 3100
Authors Krichen M.; Alroobaea R.
Year 2019
Published ENASE 2019 - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering
DOI http://dx.doi.org/10.5220/0007830605700577
Abstract In this paper we propose a new model-based framework for testing security properties of Internet of Things in Smart Cities. In general a model-based approach consists in extracting test cases from a formal specification either of the system under test or the environment of the considered system in an automatic fashion. Our framework is mainly built on the use of two formalisms namely Attack Trees and Price Timed Automata. An attack tree allows to describe the strategy adopted by the malicious party which intends to violate the security of the considered IOT system. An attack tree is translated into a network of price timed automata. The product of the constructed price timed automata is then computed using the well known UPPAALL platform. The obtained timed automata product serves as input for the adopted test generation algorithm. Moreover our framework takes advantage of the use of the standardized specification and execution testing language TTCN-3. With this respect, the obtained abstract tests are translated into the TTCN-3 format. Finally we propose a cloud-oriented architecture in order to ensure test execution and to collect the generated verdicts. Copyright © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved
Author Keywords Attack Tree; Cloud; Internet of Things; IoT; Model-based; Price Timed Automaton; Security; Smart Cities; Testing; TTCN-3; UPPAALL


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