Non-Poisson processes of email virus propagation
Date Issued
2009-09-28
Author(s)
Kocarev, Ljupcho
Abstract
Email viruses are one of the main security problems in the Internet.
In order to stop a computer virus outbreak, we need to understand email interactions between individuals. Most of the spreading models assume that users interact uniformly in time following a Poisson process, but recent measurements
have shown that the intercontact time follows heavy-tailed distribution. The
non-Poisson nature of contact dynamics results in prevalence decay times significantly larger than predicted by standard Poisson process based models.
Email viruses spread over a logical network defined by email address books.
The topology of this network plays important role in the spreading dynamics.
Recent observations suggest that node degrees in email networks are heavytailed distributed and can be modeled as power law network. We propose an
email virus propagation model that considers both heavy-tailed intercontact
time distribution, and heavy-tailed topology of email networks.
In order to stop a computer virus outbreak, we need to understand email interactions between individuals. Most of the spreading models assume that users interact uniformly in time following a Poisson process, but recent measurements
have shown that the intercontact time follows heavy-tailed distribution. The
non-Poisson nature of contact dynamics results in prevalence decay times significantly larger than predicted by standard Poisson process based models.
Email viruses spread over a logical network defined by email address books.
The topology of this network plays important role in the spreading dynamics.
Recent observations suggest that node degrees in email networks are heavytailed distributed and can be modeled as power law network. We propose an
email virus propagation model that considers both heavy-tailed intercontact
time distribution, and heavy-tailed topology of email networks.
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