2025 · 2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON)

SynthLogAI: Generative AI for Synthetic Linux Log Generation and Evaluation

Hridoy Rahman | Naser Ezzati-Jivan | Blessing Ogbuokiri

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machine-learning observability anomaly-detection system-tracing

synthetic Linux logs generative AI log generation log evaluation CASCON 2025

Core contribution: The verified record identifies this work as a 2025 CASCON paper on generative AI for Linux logs, but the full technical contribution was not available in the captured sources.

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BibTeX
@inproceedings{ezzatiJivan2025synthlogaigenerative,
  author = {Hridoy Rahman and Naser Ezzati-Jivan and Blessing Ogbuokiri},
  title = {SynthLogAI: Generative AI for Synthetic Linux Log Generation and Evaluation},
  year = {2025},
  booktitle = {2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON)},
  pages = {102-107},
  publisher = {IEEE},
  doi = {10.1109/CASCON66301.2025.00032},
  url = {https://doi.org/10.1109/CASCON66301.2025.00032}
}
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APA 7
Rahman, H., Ezzati-Jivan, N., & Ogbuokiri, B. (2025). SynthLogAI: Generative AI for Synthetic Linux Log Generation and Evaluation. In 2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON) (pp. 102-107). https://doi.org/10.1109/CASCON66301.2025.00032
IEEE
H. Rahman, N. Ezzati-Jivan, and B. Ogbuokiri, "SynthLogAI: Generative AI for Synthetic Linux Log Generation and Evaluation," in 2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON), pp. 102-107, 2025, doi: 10.1109/CASCON66301.2025.00032

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