Using Inference and Graph Convolutional Networks for APT Attack Detection-Reference-Cited by-同舟云学术

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Using Inference and Graph Convolutional Networks for APT Attack Detection

Published:2023-12-23 Issue: Volume:985 Page:301-305
ISSN:
Container-title:2023 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
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Author:

Cuong Nguyen Hoa¹,Hua Zhou Li²,Xuan Cho Do³

Affiliation:

1. Yunnan University,Faculty of Information Science And Engineering,China

2. School of Information Science And Engineering, Yunnan University,Kunming,China,650500

3. Posts and Telecommunications Institute of Technology,Faculty of Information Security,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10471760/10471767/10471768.pdf?arnumber=10471768

Reference23 articles.

1. A Survey on Advanced Persistent Threats: Techniques, Solutions, Challenges, and Research Opportunities

2. APT datasets and attack modeling for automated detection methods: A review

3. Survey of publicly available reports on advanced persistent threat actors

4. A New Proposal on the Advanced Persistent Threat: A Survey

5. A Risk Management Approach to Defending Against the Advanced Persistent Threat

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