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Towards Optimal Sensor Placement for Cybersecurity: An Extensible Model for Defensive Cybersecurity Sensor Placement

Neal Wagner1,2, Suresh K Damodaran1, Michael Reavey1

  • 1The MITRE Corporation, Bedford, MA 01730, USA.

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|October 16, 2025
PubMed
Summary

This study introduces a mathematical model for optimal sensor placement (OSP) in cybersecurity to evaluate sensor configurations against cyber attacks. The model considers sensor locations and analytics, enhancing network defense strategies.

Keywords:
cyber sensorcyber threat modelingcybersecuritymathematical modelingoptimal sensor placementrisk assessment

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Area of Science:

  • Cybersecurity
  • Network Security
  • Optimization

Background:

  • Optimal sensor placement (OSP) is crucial for effective system evaluation.
  • Limited research exists on OSP for cybersecurity and evaluating sensor configurations considering data sources and analytics.
  • Cybersecurity sensors are vital for protecting networks against cyber attacks.

Purpose of the Study:

  • To address the research gap in OSP for defensive cybersecurity.
  • To provide an extensible mathematical model for evaluating cybersecurity sensor configurations.
  • To incorporate sensor data source locations and analytics into the evaluation.

Main Methods:

  • Developed an extensible mathematical model for evaluating cybersecurity sensor configurations.
  • Demonstrated model usage through a case study on a representative network system.
  • Simulated multi-step cyber attacks using MITRE ATT&CK techniques.

Main Results:

  • The proposed model effectively evaluates cybersecurity sensor configurations.
  • The case study validated the model's utility in a realistic network defense scenario.
  • The model is adaptable for OSP in domains beyond cybersecurity.

Conclusions:

  • The developed mathematical model offers a novel approach to OSP in cybersecurity.
  • The model enhances the evaluation of sensor configurations by including data source locations and analytics.
  • This work provides a foundation for future research in cybersecurity sensor placement and evaluation.