Software Vulnerabilities, Products and Exploits: A Statistical Relational Learning Approach

Cainã Figueiredo, João Gabriel Lopes, Rodrigo Azevedo,Gerson Zaverucha,Daniel Sadoc Menasché,Leandro Pfleger de Aguiar

2021 IEEE International Conference on Cyber Security and Resilience (CSR)（2021）

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摘要

Data on software vulnerabilities, products and exploits is typically collected from multiple non-structured sources. Valuable information, e.g., on which products are affected by which exploits, is conveyed by matching data from those sources, i.e., through their relations. In this paper, we leverage this simple albeit unexplored observation to introduce a statistical relational learning (SRL) app...

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关键词

Integrated circuits,Instruments,Weapons,Pipelines,Knowledge based systems,Feature extraction,Software

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