Assessment of Security Threats via Network Topology Analysis: An Initial Investigation

Trovati, Marcello, Win, Thu Yein ORCID: 0000-0002-4977-0511, Sun, Quanbin and Kontonatsios, Georgios (2017) Assessment of Security Threats via Network Topology Analysis: An Initial Investigation. Green, Pervasive, and Cloud Computing, 10232. pp. 416-425. doi:10.1007/978-3-319-57186-7_31

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Abstract

Computer networks have increasingly been the focus of cyber attack, such as botnets, which have a variety of serious cybersecurity implications. As a consequence, understanding their behaviour is an important step towards the mitigation of such threat. In this paper, we propose a novel method based on network topology to assess the spreading and potential security impact of botnets. Our main motivation is to provide a toolbox to classify and analyse the security threats posed by botnets based on their dynamical and statistical behaviour. This would potentially lead to a better understanding and prediction of cybersecurity issues related to computer networks. Our initial validation shows the potential of our method providing relevant and accurate results.

Item Type:	Article
Article Type:	Article
Additional Information:	ISBN 978-3-319-57186-7 Conference proceedings paper presented at: 12th International Conference on Green, Pervasive, and Cloud Computing (GPC) held at Cetara, ITALY on MAY 11-14, 2017. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-57186-7_31.
Uncontrolled Keywords:	Botnets; Cybersecurity; Network theory
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Susan Turner
Date Deposited:	15 Mar 2018 10:21
Last Modified:	31 Aug 2023 08:01
URI:	https://eprints.glos.ac.uk/id/eprint/5492

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