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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 (English)In: Recent Advances in Network Simulation: The OMNeT++ Environment and its Ecosystem / [ed] A. Virdis and M. Kirsche, Springer International Publishing , 2019, p. 253-278Chapter in book (Other academic)
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.

Place, publisher, year, edition, pages
Springer International Publishing , 2019. p. 253-278
Series
EAI/Springer Innovations in Communication and Computing
Keywords [en]
Security; attacks; simulation; impact; INET; OMNeT++
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-38933DOI: 10.1007/978-3-030-12842-5_7ISBN: 978-3-030-12842-5 (electronic)OAI: oai:DiVA.org:ri-38933DiVA, id: diva2:1319250
Available from: 2019-05-30 Created: 2019-05-30 Last updated: 2019-06-03Bibliographically approved

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Publisher's full texthttps://doi.org/10.1007/978-3-030-12842-5_7

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CiteExportLink to record
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