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Related Experiment Video

Updated: Jan 20, 2026

Systematic Error: Methodological and Sampling Errors
01:15

Systematic Error: Methodological and Sampling Errors

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Robustness of network attack strategies against node sampling and link errors.

Momoko Otsuka1, Sho Tsugawa1

  • 1Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan.

Plos One
|September 5, 2019
PubMed
Summary
This summary is machine-generated.

Network attack strategies remain effective even with imperfect information, showing robustness against link errors. Biased sampling methods preserve strategy effectiveness better than random sampling in large networks.

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Area of Science:

  • Network Science
  • Cybersecurity
  • Complex Systems Analysis

Background:

  • Existing network attack strategies often assume complete network knowledge, which is unrealistic for large-scale systems.
  • Real-world network information is frequently imperfect due to measurement errors or sampling limitations.

Purpose of the Study:

  • To evaluate the resilience of network attack strategies under conditions of imperfect network information.
  • To compare the impact of different types of information imperfections (link errors vs. sampling) on attack effectiveness.

Main Methods:

  • Extensive computer simulations were conducted to model network attack scenarios.
  • Two imperfect information scenarios were simulated: networks with link errors and networks derived from sampling.
  • Attack strategy effectiveness was analyzed across various network structures, particularly those with skewed degree distributions.

Main Results:

  • Network attack strategies demonstrate significant robustness against link errors, maintaining effectiveness even with up to 30% inaccuracies.
  • Attack effectiveness significantly decreases with random network sampling.
  • Biased sampling strategies (e.g., Breadth-First Search, Depth-First Search) mitigate the negative impact of sampling on attack strategies.

Conclusions:

  • Network attack strategies are surprisingly resilient to measurement errors in network topology.
  • The method of acquiring network information (sampling technique) critically influences the success of network attacks.
  • Findings have implications for network defense and understanding the vulnerabilities of large-scale networks.