Unstructured Big Data Threat Intelligence Parallel Mining Algorithm

Unstructured Big Data Threat Intelligence Parallel Mining Algorithm

To efficiently mine threat intelligence from the vast array of open-source cybersecurity analysis reports on the web, we have developed the Parallel Deep Forest-based Multi-Label Classification (PDFMLC) algorithm. Initially, open-source cybersecurity analysis reports are collected and converted into...

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Bibliographic Details
Main Authors: Zhihua Li, Xinye Yu, Tao Wei, Junhao Qian
Format: Article
Language:English
Published: Tsinghua University Press 2024-06-01
Series:Big Data Mining and Analytics
Subjects:
unstructured big data mining
parallel deep forest
multi-label classification algorithm
threat intelligence
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2023.9020032
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https://www.sciopen.com/article/10.26599/BDMA.2023.9020032

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