SMET: Semantic Mapping of CVE to ATT&CK and Its Application to Cybersecurity

Author:

Abdeen Basel,Al-Shaer Ehab,Singhal Anoop,Khan Latifur,Hamlen Kevin

Publisher

Springer Nature Switzerland

Reference25 articles.

1. 3.3. metrics and scoring: Quantifying the quality of predictions. https://scikit-learn.org/stable/modules/model_evaluation.html#multilabel-ranking-metrics

2. Jackaduma/secbert $$\cdot $$ hugging face. https://huggingface.co/jackaduma/SecBERT

3. Pretrained models. https://www.sbert.net/docs/pretrained_models.html

4. Aghaei, E., Niu, X., Shadid, W., Al-Shaer, E.: SecureBERT: a domain-specific language model for cybersecurity. In: Li, F., Liang, K., Lin, Z., Katsikas, S.K. (eds.) SecureComm 2022. LNICS, SITE, vol. 462, pp. 39–56. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-25538-0_3

5. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;E Aghaei,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards Evaluation and Understanding of Large Language Models for Cyber Operation Automation;2023 IEEE Conference on Communications and Network Security (CNS);2023-10-02

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