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Evaluating the Performance of a Static Patching Strategy against Computer Viruses
Joint Authors
Yang, Lu-Xing
Huang, Da-Wen
Zhong, Xiang
Tang, Yuan Yan
Yang, Xiaofan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To cope with evolving computer viruses, antivirus programs must be periodically updated.
Due to the limited network bandwidth, new virus patches are typically injected into a small subset of network nodes and then forwarded to the remaining nodes.
A static patching strategy consists of a fixed patch injection rate and a fixed patch forwarding rate.
This paper focuses on evaluating the performance of a static patching strategy.
First, we introduce a novel autonomous node-level virus-patch propagation model to characterize the effect of a static patching strategy.
Second, we show that the model is globally attracting, implying that regardless of the initial expected state of the network, the expected fraction of the infected nodes converges to the same value.
Therefore, we use the asymptotic expected fraction of the infected nodes as the measure of performance of a static patching strategy.
On this basis, we evaluate the performances of a few static patching strategies.
Finally, we examine the influences of a few parameters on the performance of a static patching strategy.
Our findings provide a significant guidance for restraining malware propagation.
American Psychological Association (APA)
Huang, Da-Wen& Yang, Lu-Xing& Yang, Xiaofan& Zhong, Xiang& Tang, Yuan Yan. 2020. Evaluating the Performance of a Static Patching Strategy against Computer Viruses. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1145559
Modern Language Association (MLA)
Huang, Da-Wen…[et al.]. Evaluating the Performance of a Static Patching Strategy against Computer Viruses. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1145559
American Medical Association (AMA)
Huang, Da-Wen& Yang, Lu-Xing& Yang, Xiaofan& Zhong, Xiang& Tang, Yuan Yan. Evaluating the Performance of a Static Patching Strategy against Computer Viruses. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1145559
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145559