Scalable Graph-Aware Edge Representation Learning for Wireless IoT Intrusion Detection-Reference-Cited by-同舟云学术

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Scalable Graph-Aware Edge Representation Learning for Wireless IoT Intrusion Detection

Published:2024-08-15 Issue:16 Volume:11 Page:26955-26969
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Jiang Zhenyu¹,Li Jiliang¹^ORCID,Hu Qinnan¹,Meng Weizhi²^ORCID,Pedrycz Witold³^ORCID,Su Zhou¹

Affiliation:

1. School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China

2. Department of Applied Mathematics and Computer Science, Cybersecurity Section, Technical University of Denmark, Kongens Lyngby, Denmark

3. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB, Canada

Funder

National Key Research and Development Program of China

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10623554/10522625.pdf?arnumber=10522625

Reference37 articles.

1. Optimal Repair Strategy Against Advanced Persistent Threats Under Time-Varying Networks

2. Practical Privacy-Preserving Scheme With Fault Tolerance for Smart Grids

3. Delayed packing attack and countermeasure against transaction information based applications

4. An Intrusion-Detection Model

5. Anomaly-based network intrusion detection: Techniques, systems and challenges

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