Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats-Reference-Cited by-同舟云学术

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Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats

Published:2023-07-25 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Smart Applications, Communications and Networking (SmartNets)
language:
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Author:

Li Gaolei¹,Zhao Yuanyuan²,Wei Wenqi³,Liu Yuchen⁴

Affiliation:

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

2. Hangzhou Normal University,School of Information Science and Engineering,China

3. Fordham University,Computer and Information Sciences,USA

4. North Carolina State University,Department of Computer Science,USA

Funder

Nature

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10215379/10215514/10216058.pdf?arnumber=10216058

Reference30 articles.

1. CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications

2. Towards Accurate Anomaly Detection in Industrial Internet-of-Things using Hierarchical Federated Learning

3. A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

4. An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence

5. Deep Reinforcement Learning for Internet of Things: A Comprehensive Survey

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. Entity Interactivity-Aware Graph Encoder-Decoder Networks for Explainable Relation Prediction against Advanced Persistent Threats;2023 IEEE/CIC International Conference on Communications in China (ICCC);2023-08-10

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