umakantk/janusdata

Janus Dataset

This repository hosts the dataset used by the Janus project for training and evaluation on 5G core logs, specifications, and source code.

Repository layout

raw_data/

• spec_3gpp/: filtered_3gpp_specs_part1.json … filtered_3gpp_specs_part5.json (split <5 MB each) containing 3GPP spec metadata.
• 3gpp_openapi_yaml_rel17/: Release 17 OpenAPI YAML dumps, one directory per spec.
• logs/: Open5GS core deployment logs grouped by call-flows.
• anomalous_logs/: Synthetic NF-specific anomalous traces for amf, ausf, bsf, nrf, nssf, pcf, scp, smf, udm, upf.
• open5gs_source_code/: Source tree used for mining.

preprocessed_data/

• defect_data/: Defect logs per network function (amf, ausf, nrf, pcf, scp, smf, udm, udr, upf) named issue-<id>-sample-<n>-<nf>.log.

eval_data/

• core_crisis/: Evaluation/fuzzing log samples grouped by call-flow type.
• defect_data/: Evaluation set of issue-tagged logs across NF subfolders.
• gnbsim_experiments/: RAN-triggered call-flow logs.
• packetrusher_experiments/: Clean log samples.

Using with Janus

1. Clone the Janus code repository alongside this dataset.
2. Point Janus configs or scripts to the dataset root (e.g., data_root=/path/to/janusdata); the relative paths above remain stable.

Citation

If you use this dataset, we request you to please cite our paper:

Plain text (ACM-style):
Umakant Kulkarni, and Sonia Fahmy. 2026. Janus: A Dual-Mask Attention Transformer for Log-based Anomaly Detection in Cellular Networks. Proceedings of the ACM on Measurement and Analysis of Computing Systems 10, 1, Article 14 (March 2026), 36 pages. https://doi.org/10.1145/3788096

BibTeX:

@article{10.1145/3788096,
  author    = {Kulkarni, Umakant and Fahmy, Sonia},
  title     = {Janus: A Dual-Mask Attention Transformer for Log-based Anomaly Detection in Cellular Networks},
  year      = {2026},
  issue_date= {March 2026},
  publisher = {Association for Computing Machinery},
  address   = {New York, NY, USA},
  volume    = {10},
  number    = {1},
  url       = {https://doi.org/10.1145/3788096},
  doi       = {10.1145/3788096},
  journal   = {Proc. ACM Meas. Anal. Comput. Syst.},
  month     = mar,
  articleno = {14},
  numpages  = {36}
}