Datasetpublic

beacon-gui/BEACON-Dataset

BEACON: Behavioral Engine for Authentication and Continuous Monitoring An anonymized multi-modal behavioral biometric dataset collected during VALORANT gameplay, designed for continuous user authentication research. 28 participants · 79 sessions · 445 GB Participants are represented by opaque IDs (P001–P028) and sessions by sequential IDs (S001, S002, ...). Raw participant names, consent files, hostnames, MAC addresses, and direct device IDs are not included in this release.… See the full description on the dataset page: https://huggingface.co/datasets/beacon-gui/BEACON-Dataset.

sourceHugging Facecc-by-nc-4.0updated 4mo agoView on Hugging Face

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Dataset Card

BEACON: Behavioral Engine for Authentication and Continuous Monitoring

An anonymized multi-modal behavioral biometric dataset collected during VALORANT gameplay, designed for continuous user authentication research.

28 participants · 79 sessions · 445 GB

Participants are represented by opaque IDs (P001–P028) and sessions by sequential IDs (S001, S002, ...). Raw participant names, consent files, hostnames, MAC addresses, and direct device IDs are not included in this release.

Modalities

Modality	Files	Description
`mouse_*.csv`	80	Mouse telemetry — position, speed, clicks, scroll; Unix epoch timestamps
`keyboard_*.csv`	80	Keyboard HID dynamics — key identity, press/release times, duration; Unix epoch timestamps
`captured_packets_*.pcap`	80	Network traffic — IP/MAC addresses anonymized, local-network discovery traffic removed, encrypted game payload preserved
`screen_record_*.mp4`	74	Screen recordings of gameplay sessions
`hardware_info_*.json`	79	Scrubbed hardware metadata (hostname, MAC, IP, serial removed)

Sessions with multiple recording parts are named screen_record_P###_S###_part02.mp4 etc.

File Layout

participant_P001/
  session_S001/
    mouse_P001_S001.csv
    keyboard_P001_S001.csv
    captured_packets_P001_S001.pcap
    screen_record_P001_S001.mp4
    hardware_info_P001_S001.json

Metadata

File	Description
`metadata/public_participant_session_manifest.csv`	Participant and session ID index
`metadata/public_release_manifest.csv`	Per-file modality, status, and size
`metadata/sha256_checksums.csv`	SHA-256 checksums for all included files
`metadata/beacon_croissant.jsonld`	Croissant ML metadata record

Anonymization

—Participant and session folders use opaque sequential IDs
—CSV timestamps are raw Unix epoch values (not session-relative)
—PCAP: Ethernet/IP src and dst addresses replaced with deterministic pseudonyms in 10.0.0.0/8; local-network broadcast/discovery UDP (mDNS, LLMNR, NBNS, SSDP, DHCP, WSD) dropped to prevent hostname leakage; encrypted game payload and regular DNS preserved intact
—Hardware JSON: hostname, username, MAC, IP, HID, serial, UUID fields removed
—Raw consent files retained privately; see consent_policy.md

Citation

If you use this dataset, please cite it:

Singh, I., Kaur, G., Atwal, U. P. S., Singh, G., Singh, G., & Singh, M. (2026). BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20034625 ![DOI](https://doi.org/10.5281/zenodo.20034625)

Singh, I., Singh, G., Kaur, G., Atwal, U. P. S., Singh, G., & Singh, M. (2026). BEACON-Logger: A Behavioral Authentication and Network Traffic Logger for Game Environments. Zenodo. https://doi.org/10.5281/zenodo.20062628 ![DOI](https://doi.org/10.5281/zenodo.20144661)

Please cite the following paper also:

bibtex

@misc{singh2026beaconmultimodaldatasetlearning,
      title={BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data}, 
      author={Ishpuneet Singh and Gursmeep Kaur and Uday Pratap Singh Atwal and Guramrit Singh and Gurjot Singh and Maninder Singh},
      year={2026},
      eprint={2605.10867},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2605.10867}, 
}

License

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)