Semantic Ranking for Automated Adversarial Technique Annotation in Security Text

Author:

Kumarasinghe Udesh1ORCID,Lekssays Ahmed2ORCID,Sencar Husrev Taha2ORCID,Boughorbel Sabri2ORCID,Elvitigala Charitha3ORCID,Nakov Preslav4ORCID

Affiliation:

1. University of Colombo, Lafayatte, Indiana, USA

2. Qatar Computing Research Institute, Doha, Qatar

3. C2SI, n/a, Sri Lanka

4. MBZUAI, Abu Dhabi, United Arab Emirates

Publisher

ACM

Reference55 articles.

1. 2023. https://mitre-engenuity.org/cybersecurity/center-for-threat-informed-defense/our-work/threat-report-attck-mapper-tram/

2. Basel Abdeen, Ehab Al-Shaer, Anoop Singhal, Latifur Khan, and Kevin Hamlen. 2023. SMET: Semantic Mapping of CVE to ATT&CK and Its Application to Cybersecurity. In IFIP Annual Conference on Data and Applications Security and Privacy. Springer, 243--260.

3. Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, and Nidhi Rastogi. 2022. Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. arXiv preprint arXiv:2211.01753 (2022).

4. Md Tanvirul Alam Dipkamal Bhusal Youngja Park and Nidhi Rastogi. 2023. Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. arXiv:2211.01753 [cs.CR]

5. Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures

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