MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM) 2017
DOI: 10.1109/milcom.2017.8170813
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Generalized stochastic Petri Net model based security risk assessment of software defined networks

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Cited by 13 publications
(6 citation statements)
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“…PIPE2 is an open-source tool that supports creating and analyzing Petri nets and has an easy-to-use graphical user interface that allows a user to establish stochastic petri net models. Additionally, the analysis environment in this tool includes different modules such as steady-state analysis, reachability/coverability graph analysis, and GSPN analysis [37]. 8.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…PIPE2 is an open-source tool that supports creating and analyzing Petri nets and has an easy-to-use graphical user interface that allows a user to establish stochastic petri net models. Additionally, the analysis environment in this tool includes different modules such as steady-state analysis, reachability/coverability graph analysis, and GSPN analysis [37]. 8.…”
Section: Resultsmentioning
confidence: 99%
“…However, it also lacks the further safety evaluation for the whole system. In addition, GSPN in some works [36][37][38][39][40][41][42][43] have been used to build a safety model for a single dynamic system. But the model cannot illustrate its interactions with other systems.…”
Section: Introductionmentioning
confidence: 99%
“…It has easy-to-use graphical user interface that allows a user to establish SPN models. Additionally, it includes different modules such as steady state analysis, reachability/coverability graph analysis and GSPN analysis (Almutairi and Shetty, 2017). The process of making safety analysis for the IMA system is illustrated in the literature (Yang et al , 2020).…”
Section: Case Study and Discussionmentioning
confidence: 99%
“…Uma rede de Petrié um grafo bipartido direcionado que pode ser usado na modelagem e descrição de sistemas; contém componentes em sua estrutura, como conjuntos de locais e transições; eé estocástica quando cada transição está associada a um atraso de disparo aleatório que segue um processo estocástico. SPNs são conhecidos pelo alto grau de representatividade, sendo mais intuitivos que opções convencionais, como cadeias de Markov, para representar concorrência, paralelismo, e sincronização, em sistemas variados, desde transporte urbano [Labadi et al 2015]à segurança de aplicações na nuvem [Almutairi and Shetty 2017]. Mais próximo ao nosso estudoé o modelo SPN proposto em [Santos et al 2018] para analisar tempo de resposta de uma aplicação de monitoramento cardíaco sobre a arquitetura névoa e nuvem.…”
Section: Trabalhos Relacionadosunclassified