Attack Behavior Extraction Based on Heterogeneous Cyberthreat Intelligence and Graph Convolutional Networks-Reference-Cited by-同舟云学术

Attack Behavior Extraction Based on Heterogeneous Cyberthreat Intelligence and Graph Convolutional Networks

Published:2023 Issue:1 Volume:74 Page:235-252
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Tang Binhui,Wang Junfeng,Qiu Huanran,Yu Jian,Yu Zhongkun,Liu Shijia

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v74n1/49780/pdf

Reference42 articles.

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2. Cyber threat intelligence sharing: Survey and research directions;Wagner;Computers & Security,2019

3. Cyber kill chain-based taxonomy of advanced persistent threat actors: Analogy of tactics, techniques, and procedures;Bahrami;Journal of Information Processing Systems,2019

4. IoCMiner: Automatic extraction of indicators of compromise from twitter;Niakanlahiji,2019

5. PTE: Predictive text embedding through large-scale heterogeneous text networks;Tang,2015

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1. Attack Behavior Extraction Based on Heterogeneous Threat Intelligence Graphs and Data Augmentation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. SSGCN: a sampling sequential guided graph convolutional network;International Journal of Machine Learning and Cybernetics;2023-11-14