5G Security and Resource Allocation Dataset

This repository provides a comprehensive collection of 5G datasets designed for analyzing security threats and resource allocation behaviors in next-generation mobile networks. The datasets were generated in controlled testbed and simulation environments, covering a range of control-plane, data-plane, and radio-layer experiments.

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Dataset Contents

5G Security Attack Datasets

Generated using Open5GS, OpenAirInterface (OAI), and Amarisoft 5G cores, covering multiple attack scenarios:

• Flooding Attacks: Deregistration flooding, Registration flooding, ICMP flooding, SYN flooding
• Replay-based Attacks: High-rate control-plane message replays via 5Greplay
• PFCP Session Deletion DoS: Spoofed SMF IP and brute-forced SEIDs to disconnect UEs
• Fuzzing Attacks: Malformed NAS messages triggering repeated NG setup failures
• Physical-layer Jamming (analysis-only): Based on simulated resource allocation telemetry

Each scenario includes:

• .pcap files: Raw network captures for low-level protocol analysis
• .csv files: Processed and labeled datasets (benign vs. malicious traffic), extracted via 5GPacketParser
• AMF log snapshots: Internal errors and crash reports during attacks

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Resource Allocation Telemetry Dataset (MATLAB SLS)

To complement the security datasets, we provide radio resource scheduling traces generated using the MATLAB 5G Toolbox System Level Simulator (SLS).

• Simulations ran with three scheduling algorithms: Proportional Fair (PF), Round Robin (RR), and Best CQI
• Monte Carlo runs with 4–12 user devices randomly distributed in a 5 MHz channel
• Logged per-OFDM-symbol allocations for every UE, capturing:
  • Resource Block (RB) group assignments
  • Modulation and Coding Scheme (MCS) levels
  • Channel Quality Indicators (CQI) per RB
  • RB-pair allocation patterns

This dataset supports selective jamming attack analysis, showing how predictable scheduling behavior could help attackers anticipate RB usage and disrupt specific UEs with minimal interference.

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Reference

These datasets are introduced and discussed in the following publication:

Title: A Comprehensive 5G Network Dataset for Control and Data Plane Security and Resource Allocation Analysis
Authors: Beny Nugraha, Mehrdad Hajizadeh, Tim Niehoff, Abhishek Venkatesh Jnanashree, Trung V. Phan, Dionysia Triantafyllopoulou, Oliver Krause, Martin Mieth, Klaus Moessner, and Thomas Bauschert
Conference: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), Chania, Crete, Greece, August 4–6, 2025.

If you use these datasets in your research, please cite this paper.

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⚙️ Tools Used

• 5GPacketParser: Converts .pcap captures to structured .csv format with labeled traffic flows

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