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...
Saved in:
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: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2023.9020032 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring the impact of adenoid obstruction on the human nasal airflow through parallel computational fluid dynamics
by: Zhengzheng Yan, et al.
Published: (2025-01-01) -
Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance
by: Arohi Agarwal, et al.
Published: (2025-03-01) -
Big Data Analytics For Organizations: Challenges and Opportunities and Its Effect on International Business Education
by: Twana Saeed Ali, et al.
Published: (2019-12-01) -
Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm
by: Mohammadreza Dehghanimahmoudabadi, et al.
Published: (2024-03-01) -
Comprehensive Survey of Big Data Mining Approaches in Cloud Systems
by: Zainab Salih Ageed, et al.
Published: (2021-04-01)