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A Mobile Ambients-Based Approach for Network Attack Modelling and Simulation

Franqueira, Virginia N. L., van Eck, Pascal, Wieringa, Roel, Lopes, Raul H. C. (2009) A Mobile Ambients-Based Approach for Network Attack Modelling and Simulation. In: Proceedings: International Conference on Availability, Reliability and Security (ARES 2009). . pp. 546-553. IEEE ISBN 978-0-7695-3564-7. (doi:10.1109/ares.2009.125) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1109/ares.2009.125

Abstract

Attack graphs are an important support for assessment and subsequent improvement of network security. They reveal possible paths an attacker can take to break through security perimeters and traverse a network to reach valuable assets deep inside the network. Although scalability is no longer the main issue, Attack Graphs still have some problems that make them less useful in practice. First, Attack Graphs remain difficult to relate to the network topology. Second, Attack Graphs traditionally only consider the exploitation of vulnerable hosts. Third, Attack Graphs do not rely on automatic identification of potential attack targets. We address these gaps in our MsAMS (Multi-step Attack Modelling and Simulation) tool, based on Mobile Ambients. The tool not only allows the modelling of more static aspects of the network, such as the network topology, but also the dynamics of network attacks. In addition to Mobile Ambients, we use the pagerank algorithm to determine targets and hub scores produced by the HITS (Hypertext Induced Topic Search) algorithm to guide the simulation of an attacker searching for targets.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ares.2009.125
Uncontrolled keywords: Network Security, Vulnerability Assessment, Attack Modelling, PageRank, HITS
Divisions: Faculties > Sciences > School of Computing > Security Group
Depositing User: Virginia Nunes Leal Franqueira
Date Deposited: 10 Oct 2019 15:22 UTC
Last Modified: 11 Oct 2019 13:55 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/77200 (The current URI for this page, for reference purposes)
Franqueira, Virginia N. L.: https://orcid.org/0000-0003-1332-9115
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