Entity Interactivity-Aware Graph Encoder-Decoder Networks for Explainable Relation Prediction against Advanced Persistent Threats-Reference-Cited by-同舟云学术

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Entity Interactivity-Aware Graph Encoder-Decoder Networks for Explainable Relation Prediction against Advanced Persistent Threats

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CIC International Conference on Communications in China (ICCC)
language:
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Author:

Yang Xiao¹,Dong Mianxiong²,Ota Kaoru²,Li Gaolei¹,Zhang Chaofeng³

Affiliation:

1. Shanghai Jiao Tong University,School of Electronics, Information and Electrical Engineering,Shanghai,China,200240

2. Muroran Institute of Technology,Department of Information and Electronic Engineering,Muroran,Hokkaido,Japan,050-0071

3. Advanced Institute of Industrial Technology,School of Information and Electronic Engineering,Tokyo,Japan,140-0011

Funder

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233382.pdf?arnumber=10233382

Reference23 articles.

1. Extending Attack Graphs to Represent Cyber-Attacks in Communication Protocols and Modern IT Networks

2. A Security Analysis Method for Industrial Internet of Things

3. A Survey on Deep Learning for Named Entity Recognition

4. Attack dynamics: An automatic attack graph generation framework based on system topology, capec, cwe, and cve databases;hankin;Computers & Security,2022

5. Research on Relation Extraction Method Based on Similar Relations and Bayesian Neural Network

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