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SEA++: A Framework for Evaluating the Impact of Security Attacks in OMNeT++/INET
RISE - Research Institutes of Sweden, ICT, SICS. (Security Lab)ORCID-id: 0000-0001-8842-9810
University of Pisa, Italy.
University of Pisa, Italy.
RISE - Research Institutes of Sweden, ICT, SICS. (Security Lab)
2019 (engelsk)Inngår i: Recent Advances in Network Simulation: The OMNeT++ Environment and its Ecosystem / [ed] A. Virdis and M. Kirsche, Springer International Publishing , 2019, s. 253-278Kapittel i bok, del av antologi (Annet vitenskapelig)
Abstract [en]

This chapter presents SEA++, a simulation framework that extends OMNeT++ and the INET Framework for evaluating the impact of security attacks on networks and applications in a flexible and user-friendly way. To this end, SEA++ relies on two fundamental building blocks. First, the user describes the attacks to be evaluated by using a high-level Attack Specification Language (ASL). In particular, only the final effects of such attacks are described, rather than their actual performance. Second, the Attack Simulation Engine (ASE) takes these high-level descriptions as input and accordingly injects attack events at runtime, by means of additional software modules that seamlessly and transparently operate with the other INET modules. This allows the user to quantitatively assess the impact of cyber/physical attacks in simulated network scenarios, and hence rank them according to their severity as a support to risk assessment and selection of countermeasures. As a further advantage, the user is not required to alter any software module or application, or to implement any adversary model for the actual execution of security attacks. Finally, this chapter also includes a step-by-step explicative example showing how to set up and use SEA++ for describing attacks and assessing their impact.

sted, utgiver, år, opplag, sider
Springer International Publishing , 2019. s. 253-278
Serie
EAI/Springer Innovations in Communication and Computing
Emneord [en]
Security; attacks; simulation; impact; INET; OMNeT++
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-38933DOI: 10.1007/978-3-030-12842-5_7ISBN: 978-3-030-12842-5 (digital)OAI: oai:DiVA.org:ri-38933DiVA, id: diva2:1319250
Tilgjengelig fra: 2019-05-30 Laget: 2019-05-30 Sist oppdatert: 2019-06-03bibliografisk kontrollert

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