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- W3125653362 abstract "Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks. However, existing approaches require non-trivial efforts of manual query construction and have overlooked the rich external knowledge about threat behaviors provided by open-source Cyber Threat Intelligence (OSCTI). To bridge the gap, we build ThreatRaptor, a system that facilitates cyber threat hunting in computer systems using OSCTI. Built upon mature system auditing frameworks, ThreatRaptor provides (1) an unsupervised, light-weight, and accurate NLP pipeline that extracts structured threat behaviors from unstructured OSCTI text, (2) a concise and expressive domain-specific query language, TBQL, to hunt for malicious system activities, (3) a query synthesis mechanism that automatically synthesizes a TBQL query from the extracted threat behaviors, and (4) an efficient query execution engine to search the big system audit logging data." @default.
- W3125653362 created "2021-02-01" @default.
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- W3125653362 date "2021-01-17" @default.
- W3125653362 modified "2023-10-16" @default.
- W3125653362 title "A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence" @default.
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- W3125653362 doi "https://doi.org/10.48550/arxiv.2101.06761" @default.
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