IDEAS home Printed from https://ideas.repec.org/a/ids/ijcist/v9y2013i1-2p52-73.html
   My bibliography  Save this article

Topological protection from the next generation malware: a survey

Author

Listed:
  • Andrea Arbore
  • Vincenzo Antonio Fioriti

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 well-known 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.

Suggested Citation

  • Andrea Arbore & Vincenzo Antonio Fioriti, 2013. "Topological protection from the next generation malware: a survey," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 9(1/2), pages 52-73.
  • Handle: RePEc:ids:ijcist:v:9:y:2013:i:1/2:p:52-73
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=51603
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arbore, Andrea & Fioriti, Vincenzo & Chinnici, Marta, 2016. "The topological defense in SIS epidemic models," Chaos, Solitons & Fractals, Elsevier, vol. 86(C), pages 16-22.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijcist:v:9:y:2013:i:1/2:p:52-73. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=58 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.