A System for Automated Open-Source Threat Intelligence Gathering and Management
Summary: Automates OSCTI report collection from diverse sources and extracts high-level threat concepts (TTPs, adversaries) with AI/NLP. Builds a security knowledge graph of entity-relation triplets and provides an interactive UI to explore threat knowledge. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Peng Gao (University of California Berkeley)
- 2. Xiaoyuan Liu (University of California Berkeley)
- 3. Edward Choi (University of California Berkeley)
- 4. Bhavna Soman (Microsoft)
- 5. Chinmaya Mishra (Microsoft)
- 6. Kate Farris (Microsoft)
- 7. Dawn Song (University of California Berkeley)
BibTeX Citation
@inproceedings{gao_sigmod21,
title = {{A System for Automated Open-Source Threat Intelligence Gathering and Management}},
author = {Gao, Peng and Liu, Xiaoyuan and Choi, Edward and Soman, Bhavna and Mishra, Chinmaya and Farris, Kate and Song, Dawn},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452745},
url = {https://dl.acm.org/doi/10.1145/3448016.3452745},
year = {2021}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,057 | YAGO3: A Knowledge Base from Multilingual Wikipedias | 2015 | CIDR | 0.00012387149 |
| 13,508 | A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security | 2019 | VLDB | - |
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