IoT Network Centrality Metrics Derived from 2023 Traffic Data

Centrality metrics for a graph representing an IoT communication network. The network structure was inferred from the ACI IoT Network Traffic Dataset 2023, prepared by the Internet of Things Research Lab (IoTRL). It is intended to facilitate studies in the field of cybersecurity.

Use Cases

• Analyze centrality measures for intrusion detection in IoT networks.
• Study the relationship between network topology and security vulnerabilities using derived graph metrics.
• Apply graph-based machine learning models on centrality features for anomaly detection in IoT traffic.

Strengths

• Derived from the ACI IoT Network Traffic Dataset 2023, providing a structured network view.
• Authored by a researcher affiliated with e-cienciaDatos Harvested Dataverse.
• Last updated in February 2026, indicating recent maintenance.

Limitations

• The specific number of rows, columns, and data size are unknown.
• The underlying traffic data is from 2023, which may not reflect current IoT network patterns.
• The exact centrality metrics and their calculation methods are not detailed.

Provenance

Source

Internet of Things Research Lab (IoTRL) via the ACI IoT Network Traffic Dataset 2023.

Collection Method

Network structure and centrality metrics inferred from IoT network traffic data.

Time Range

Based on 2023 traffic data.

Freshness

Last updated on 2026-02-22.