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Stochastic Modeling for Self-evolving Botnets in Infection Control Environments

Authors:
Koki Hongyo
Tomotaka Kimura
Takanori Kudo
Yoshiaki Inoue
Kouji Hirata

Keywords: Botnet; machine learning; epidemic model; continuous-time Markov chain.

Abstract:
The concept of self-evolving botnets, where computing resources of infected hosts are exploited to discover unknown vulnerabilities and the botnets evolve autonomously, has been introduced and their threats have been shown in the literature. In order to protect networks from the self-evolving botnets, this paper provides an epidemic model taking into account the infection routes in infection control environments to which countermeasures against the self-evolving botnets are applied. We show the behaviors of the epidemic model through simulation experiments.

Pages: 135 to 136

Copyright: Copyright (c) IARIA, 2018

Publication date: July 22, 2018

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-650-7

Location: Barcelona, Spain

Dates: from July 22, 2018 to July 26, 2018