Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset-Reference-Cited by-同舟云学术

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Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset

Published:2024 Issue:2 Volume:138 Page:1427-1467
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:CMES

Author:

Abdalsalam Mohammed,Li Chunlin,Dahou Abdelghani,Kryvinska Natalia

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v138n2/54605/pdf

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Routing Protocol Low Power and Lossy Network Attacks Using Machine Learning Techniques;2024 21st International Multi-Conference on Systems, Signals & Devices (SSD);2024-04-22

2. Study on Combined-CNN Model for Classification of Terrorism Text;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

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