Towards understanding the effectiveness of patch injection

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

6 Scopus Citations
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Author(s)

  • Da-Wen Huang
  • Lu-Xing Yang
  • Xiaofan Yang
  • Yingbo Wu
  • Yuan Yan Tang

Detail(s)

Original languageEnglish
Article number120956
Journal / PublicationPhysica A: Statistical Mechanics and its Applications
Volume526
Online published10 Apr 2019
Publication statusPublished - 15 Jul 2019

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.

Research Area(s)

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

Citation Format(s)

Towards understanding the effectiveness of patch injection. / Huang, Da-Wen; Yang, Lu-Xing; Yang, Xiaofan et al.

In: Physica A: Statistical Mechanics and its Applications, Vol. 526, 120956, 15.07.2019.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review