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Botnet Defense System: Observability, Controllability, and Basic Command and Control Strategy.

Shingo Yamaguchi1

  • 1Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube 755-8611, Japan.

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Summary
This summary is machine-generated.

This study introduces a Botnet Defense System (BDS) that uses white-hat botnets to combat malicious bots in IoT systems. The research confirms the BDS effectively eliminates threats while maintaining control, even in open internet environments.

Keywords:
botnet defense systemcommand and controlmalicious botnetobservability and controllabilitystrategywhite-hat botnet

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Area of Science:

  • Cybersecurity
  • Network Security
  • Internet of Things (IoT) Security

Background:

  • The Internet's open nature presents challenges for observability and controllability in defense systems.
  • Botnets pose a significant threat to IoT systems, requiring robust defense mechanisms.

Purpose of the Study:

  • To design and analyze a Botnet Defense System (BDS) that enhances observability and controllability using white-hat botnets.
  • To propose and evaluate a command and control strategy for white-hat botnets within the BDS framework.

Main Methods:

  • Incorporated concepts of observability and controllability into the BDS design.
  • Developed a "Withdrawal" strategy for commanding white-hat botnets.
  • Modeled the BDS using agent-oriented Petri nets (PN^2) and performed simulations.

Main Results:

  • The BDS demonstrated enhanced observability and controllability through the strategic use of white-hat botnets.
  • Simulations confirmed the BDS's effectiveness in eradicating malicious bots.
  • The white-hat bot population was reduced to less than 1% under conditions of sufficient infectiousness.

Conclusions:

  • The proposed BDS, incorporating observability and controllability, is effective in defending IoT systems against botnets.
  • The "Withdrawal" strategy provides a viable command and control mechanism for white-hat botnets.
  • The study validates the theoretical framework through successful simulation of the PN^2 model.