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Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management Tasks.

Kazuto Sasai1, Ryota Fukutani2, Gen Kitagata3

  • 1Graduate School of Science and Engineering, Ibaraki University, Hitachi 316-8511, Japan.

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|November 26, 2022
PubMed
Summary

This study introduces a multiagent-based data presentation mechanism (MADPM) to help network administrators make better heuristic decisions. The system provides multifaceted data analysis, improving cybersecurity risk management.

Keywords:
data analyticsdata presentationinformation recommendationmultiagent systemnetwork managementserendipity

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Management

Background:

  • Network management relies on automation but struggles with unforeseen cybersecurity issues.
  • Current systems often narrow information, hindering complex risk analysis.
  • Administrators require diverse data for heuristic decision-making in fault scenarios.

Purpose of the Study:

  • To propose a multiagent-based data presentation mechanism (MADPM) for enhanced network data analysis.
  • To support heuristic reasoning by providing multifaceted data presentations.
  • To improve cybersecurity risk assessment and fault management.

Main Methods:

  • Developed a multiagent system where agents process and analyze network data.
  • Designed agents to interact and form data-processing sequences.
  • Implemented a mechanism for sequence composition and expansion for multifaceted analysis.

Main Results:

  • A prototype system demonstrated the effectiveness of the MADPM.
  • Multifaceted data presentation significantly supported administrators compared to single-faceted approaches.
  • The system facilitated heuristic inference in network management tasks.

Conclusions:

  • The proposed MADPM enhances network management by providing comprehensive data insights.
  • Multifaceted and cross-system data presentation is crucial for effective heuristic inference.
  • This approach improves administrator decision-making in complex cybersecurity scenarios.