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Title: Providing a model based on Poisson distribution for malware propagation assessment in peer-to-peer networks

Authors: Shadi Haghi; Mahdi Mollamotalebi

Addresses: Department of Computer, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran ' Department of Computer, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran

Abstract: The use of peer-to-peer networks has increased dramatically in recent years in applications infrastructure such as file sharing, gaming, instant messaging and content distribution. These networks suffered from the problem of large-scale incompatibilities, which was organised by the super peer to overcome this problem. So far, several models have been presented to assess the behaviour of worm propagation in peer-to-peer network, but there has not been any effective review of how the worm propagates in super-peer networks. This paper presents a framework for modelling the connectivity of the super-peer network and then examines the behaviour of active worm propagation based on epidemic models on this framework. The results indicate that the worm propagate more rapidly in super-peer networks. Also, the results of the implementation indicate that the model presented in this study has achieved a significant improvement in reducing the rate of propagation of worms compared to previous work.

Keywords: super-peer network; flat peer-to-peer network; malware; active worm; modelling worm propagation behaviour.

DOI: 10.1504/IJITST.2021.10040082

International Journal of Internet Technology and Secured Transactions, 2022 Vol.12 No.1, pp.1 - 26

Received: 30 Dec 2019
Accepted: 23 Jun 2020

Published online: 14 Dec 2021 *

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