UM
Residential Collegefalse
Status即將出版Forthcoming
Towards understanding the effectiveness of patch injection
Huang, Da Wen1; Yang, Lu Xing2; Yang, Xiaofan1; Wu, Yingbo1; Tang, Yuan Yan3,4
2019-07-15
Source PublicationPhysica A: Statistical Mechanics and its Applications
ABS Journal Level2
ISSN0378-4371
Volume526
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.

KeywordComputer Virus Dynamic Model Equilibrium Global Stability Virus–patch
DOI10.1016/j.physa.2019.04.192
URLView the original
Language英語English
WOS IDWOS:000474503800119
Scopus ID2-s2.0-85064389467
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.School of Big Data and Software Engineering, Chongqing University, Chongqing, 400044, China
2.School of Information Technology, Deakin University, Melbourne, 3125, Australia
3.Faculty of Science and Technology, UOW College Hong Kong/Community College of City University, Hong Kong
4.Department of Computer and Information Science, The University of Macau, Macao
Recommended Citation
GB/T 7714
Huang, Da Wen,Yang, Lu Xing,Yang, Xiaofan,et al. Towards understanding the effectiveness of patch injection[J]. Physica A: Statistical Mechanics and its Applications, 2019, 526.
APA Huang, Da Wen., Yang, Lu Xing., Yang, Xiaofan., Wu, Yingbo., & Tang, Yuan Yan (2019). Towards understanding the effectiveness of patch injection. Physica A: Statistical Mechanics and its Applications, 526.
MLA Huang, Da Wen,et al."Towards understanding the effectiveness of patch injection".Physica A: Statistical Mechanics and its Applications 526(2019).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Huang, Da Wen]'s Articles
[Yang, Lu Xing]'s Articles
[Yang, Xiaofan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Huang, Da Wen]'s Articles
[Yang, Lu Xing]'s Articles
[Yang, Xiaofan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Huang, Da Wen]'s Articles
[Yang, Lu Xing]'s Articles
[Yang, Xiaofan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.