Home // INTERNET 2019, The Eleventh International Conference on Evolving Internet // View article

Consideration of a Countermeasure Model against Self-Evolving Botnets

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

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

Abstract:
The literature has suggested the appearance of self-evolving botnets, which autonomously discover vulnerabilities by performing machine learning with computing resources of zombie computers and evolve accordingly. The infectablity of the self-evolving botnets is too strong compared with conventional botnets. This paper introduces a countermeasure model against the self-evolving botnets. This model aims at preventing the self-evolving botnets from spreading by discovering vulnerabilities with computing resources of volunteer hosts before the self-evolving botnets discover them. Through simulation experiments based on a continuous-time Markov chain, we evaluate the performance of the countermeasure model.

Pages: 30 to 33

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2308-443X

ISBN: 978-1-61208-721-4

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019