April 24, 2023, 12:45 a.m. | Ashraf Haddad, Najwa Aaraj, Preslav Nakov, Septimiu Fabian Mare

cs.LG updates on arXiv.org arxiv.org

In recent years, a proliferation of cyber-security threats and diversity has
been on the rise culminating in an increase in their reporting and analysis. To
counter that, many non-profit organizations have emerged in this domain, such
as MITRE and OSWAP, which have been actively tracking vulnerabilities, and
publishing defense recommendations in standardized formats. As producing data
in such formats manually is very time-consuming, there have been some proposals
to automate the process. Unfortunately, a major obstacle to adopting supervised
machine …

analysis arxiv automate automated cyber data defense diversity machine machine learning major mapping organizations process profit publishing recommendations records reporting security supervised machine learning threats tracking vulnerabilities vulnerability

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