Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet

A novel malware propagation model is suggested in this paper. Contrary to existing models for malware spreading under the deployed honeynet, honeypots in our model can be dynamically deployed according to the overall infection size within the network. The basic reproduction number that determines th...

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Main Authors: Li Hanlun, Ren Jianguo
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:ITM Web of Conferences
Subjects:
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_01008.pdf
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author Li Hanlun
Ren Jianguo
author_facet Li Hanlun
Ren Jianguo
author_sort Li Hanlun
collection DOAJ
description A novel malware propagation model is suggested in this paper. Contrary to existing models for malware spreading under the deployed honeynet, honeypots in our model can be dynamically deployed according to the overall infection size within the network. The basic reproduction number that determines the persistence of malware is derived, and the existence and uniqueness of the malware equilibrium are investigated. Using the basic reproduction number, we proved that the malware-free equilibrium is locally and globally asymptotically stable. Numerical simulations are performed to illustrate the theoretical results, showing that nodes with higher degree values are conducive to the spread of malware, and network with a small power law index has a higher spreading level. Furthermore, the total number of needed honeypots is governed by both infection size and network topology. Based on the results, some ideas for the effective design of a honeynet are suggested.
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spelling doaj.art-0b493812fbf34ca99fbe0a19a8ee6b2e2022-12-22T00:34:37ZengEDP SciencesITM Web of Conferences2271-20972022-01-01470100810.1051/itmconf/20224701008itmconf_cccar2022_01008Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynetLi Hanlun0Ren Jianguo1College of Computer Science, Jiangsu Normal UniversityResearch Center for Complex Networks and Swarm Intelligence, Jiangsu Normal UniversityA novel malware propagation model is suggested in this paper. Contrary to existing models for malware spreading under the deployed honeynet, honeypots in our model can be dynamically deployed according to the overall infection size within the network. The basic reproduction number that determines the persistence of malware is derived, and the existence and uniqueness of the malware equilibrium are investigated. Using the basic reproduction number, we proved that the malware-free equilibrium is locally and globally asymptotically stable. Numerical simulations are performed to illustrate the theoretical results, showing that nodes with higher degree values are conducive to the spread of malware, and network with a small power law index has a higher spreading level. Furthermore, the total number of needed honeypots is governed by both infection size and network topology. Based on the results, some ideas for the effective design of a honeynet are suggested.https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_01008.pdfdynamically-deployed honeypotshoneynetmalware spreading modelheterogeneous network
spellingShingle Li Hanlun
Ren Jianguo
Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet
ITM Web of Conferences
dynamically-deployed honeypots
honeynet
malware spreading model
heterogeneous network
title Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet
title_full Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet
title_fullStr Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet
title_full_unstemmed Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet
title_short Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet
title_sort dynamical model and analysis of malware propagation on the dynamically deployed heterogeneous honeynet
topic dynamically-deployed honeypots
honeynet
malware spreading model
heterogeneous network
url https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_01008.pdf
work_keys_str_mv AT lihanlun dynamicalmodelandanalysisofmalwarepropagationonthedynamicallydeployedheterogeneoushoneynet
AT renjianguo dynamicalmodelandanalysisofmalwarepropagationonthedynamicallydeployedheterogeneoushoneynet