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Selected Works of Mark Stamp
Article
SocioBot: a Twitter-based botnet
International Journal of Security and Networks (2017)
  • Ismeet Kaur Makkar, San Jose State University
  • Fabio Di Troia, Università degli Studi del Sannio
  • Visaggio Aaron Corrado, Università degli Studi del Sannio
  • Thomas H. Austin, San Jose State University
  • Mark Stamp, San Jose State University
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Abstract
A botnet is a collection of computers controlled by a botmaster, often used for malicious activity. Social media provides an ideal platform for controlling a botnet, and also an avenue for botnets to spread their reach. In this research, we develop a botnet, SocioBot, that uses Twitter for its command and control (C&C) system. We conduct a variety of simulations based on this botnet. Epidemic models are used to validate and analyse our botnet simulations.
Keywords
  • malware,
  • epidemic models,
  • Twitter,
  • stochastic simulation,
  • social media,
  • social networks
Disciplines
Publication Date
2017
DOI
10.1504/IJSN.2017.10001803
Citation Information
Ismeet Kaur Makkar, Fabio Di Troia, Visaggio Aaron Corrado, Thomas H. Austin, et al.. "SocioBot: a Twitter-based botnet" International Journal of Security and Networks Vol. 12 Iss. 1 (2017) p. 1 - 12 ISSN: 1747-8405
Available at: http://works.bepress.com/mark_stamp/63/