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Towards understanding the effectiveness of patch injection

  • Da-Wen Huang
  • , Lu-Xing Yang
  • , Xiaofan Yang*
  • , Yingbo Wu
  • , Yuan Yan Tang
  • *Corresponding author for this work

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Abstract

    To contain the prevalence of computer virus on a network, we have to continuously inject new patches into the network. As the limited communication bandwidth restricts the patch injection rate, we need to evaluate the performance of a patch injection rate in restraining computer infections. This paper focuses on the performance evaluation problem. We propose a virus–patch interacting model with patch injection mechanism, and show that this model admits a globally stable equilibrium. This result implies that the fraction of infected nodes will approach a common value. Therefore, we recommend the asymptotic fraction of infected nodes to serve as a measure of performance of the associated patch injection rate. We also examine the influence of different parameters on the asymptotic fraction of infected nodes. In particular, we find that patch injection is particularly effective for densely connected networks. This work takes the first step towards understanding the effectiveness of patch injection. © 2019 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Article number120956
    JournalPhysica A: Statistical Mechanics and its Applications
    Volume526
    Online published10 Apr 2019
    DOIs
    Publication statusPublished - 15 Jul 2019

    Research Keywords

    • Computer virus
    • Virus–patch
    • Dynamic model
    • Equilibrium
    • Global stability

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