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Topological protection from the next generation malware: a survey

Topological protection from the next generation malware: a survey The spreading of dangerous malware in inter-dependent networks of electronics devices has raised deep concern, because from the ICT networks infections may propagate to other critical infrastructures producing the wellknown domino effect. Researchers are attempting to develop a high level analysis of malware propagation, discarding software details, in order to generalise to the maximum extent the defensive strategies. It has been suggested that the maximum eigenvalue could act as a threshold for the malware spreading. This paper presents a new proof of this statement and an original way to classify the max eigenvalue minimisation problem (NP-hard). A study of the Italian internet autonomous system verifying the theoretical threshold is shown. Finally, it shows how to stop a worm in a real LAN using a new sub-optimal algorithm. Such algorithm suggests which nodes to protect for limiting the worm diffusion according to the spectral paradigm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Critical Infrastructures Inderscience Publishers

Topological protection from the next generation malware: a survey

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1475-3219
eISSN
1741-8038
DOI
10.1504/IJCIS.2013.051603
Publisher site
See Article on Publisher Site

Abstract

The spreading of dangerous malware in inter-dependent networks of electronics devices has raised deep concern, because from the ICT networks infections may propagate to other critical infrastructures producing the wellknown domino effect. Researchers are attempting to develop a high level analysis of malware propagation, discarding software details, in order to generalise to the maximum extent the defensive strategies. It has been suggested that the maximum eigenvalue could act as a threshold for the malware spreading. This paper presents a new proof of this statement and an original way to classify the max eigenvalue minimisation problem (NP-hard). A study of the Italian internet autonomous system verifying the theoretical threshold is shown. Finally, it shows how to stop a worm in a real LAN using a new sub-optimal algorithm. Such algorithm suggests which nodes to protect for limiting the worm diffusion according to the spectral paradigm.

Journal

International Journal of Critical Infrastructures – Inderscience Publishers

Published: Jan 1, 2013

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