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

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

Reference42 articles.

1. Detection of advanced persistent threat using machine-learning correlation analysis;Ghafir;Future Generation Computer Systems,2018

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

Cited by 1 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. SSGCN: a sampling sequential guided graph convolutional network;International Journal of Machine Learning and Cybernetics;2023-11-14

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