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Hybrid Epidemics—A Case Study on Computer Worm Conficker

2014/06/30 by Changwang Zhang, Shi Zhou, Benny Chain · 1 citation
Computer Science · Mathematics · Medicine · Physics and Astronomy · #Complex Network Analysis Techniques #Computer network #Computer science #Computer security #Environmental health #Mathematics #Medicine #Neighbourhood (mathematics) #Network Security and Intrusion Detection #Population #Spam and Phishing Detection #The Internet #World Wide Web

paper · pdf · doi:10.1371/journal.pone.0127478

openalex publication_date 2015/05/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

Conficker is a computer worm that erupted on the Internet in 2008. It is unique in combining three different spreading strategies: local probing, neighbourhood probing, and global probing. We propose a mathematical model that combines three modes of spreading: local, neighbourhood, and global, to capture the worm's spreading behaviour. The parameters of the model are inferred directly from network data obtained during the first day of the Conficker epidemic. The model is then used to explore the tradeoff between spreading modes in determining the worm's effectiveness. Our results show that the Conficker epidemic is an example of a critically hybrid epidemic, in which the different modes of spreading in isolation do not lead to successful epidemics. Such hybrid spreading strategies may be used beneficially to provide the most effective strategies for promulgating information across a large population. When used maliciously, however, they can present a dangerous challenge to current internet security protocols.

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