Kushankur Ghosh
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126
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2026
An End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat Interpretation
The paper introduces Auto-Prov, an end-to-end framework that uses Large Language Models (LLMs) to automatically construct functional-embedded provenance graphs from diverse logs, enhancing anomaly detection and providing interpretable attack summaries.
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Papers
cs.CRcs.LGRecentMar 17, 2026
An End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat Interpretation
Kushankur Ghosh, Mehar Klair, Kian Kyars, Euijin Choo +1 more
The paper introduces Auto-Prov, an end-to-end framework that uses Large Language Models (LLMs) to automatically construct functional-embedded provenance graphs from diverse logs, enhancing anomaly det…
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