An Automatic and Efficient Malware Traffic Classification Method for Secure Internet of Things-Reference-Cited by-同舟云学术

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An Automatic and Efficient Malware Traffic Classification Method for Secure Internet of Things

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Xixi¹,Hao Liang²,Gui Guan¹^ORCID,Wang Yu¹^ORCID,Adebisi Bamidele³^ORCID,Sari Hikmet¹^ORCID

Affiliation:

1. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Nanjing Institute of Measurement and Testing Technology, Nanjing, China

3. Department of Engineering, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10261168.pdf?arnumber=10261168

Cited by 12 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. Post-Quantum Secure Identity-Based Signature Scheme with Lattice Assumption for Internet of Things Networks;Sensors;2024-06-27

2. Advancing Malware Detection in Network Traffic With Self-Paced Class Incremental Learning;IEEE Internet of Things Journal;2024-06-15

3. ECLBC: A Lightweight Block Cipher With Error Detection and Correction Mechanisms;IEEE Internet of Things Journal;2024-06-15

4. Small target disease detection based on YOLOv5 framework for intelligent bridges;Peer-to-Peer Networking and Applications;2024-05-27

5. Self-Supervised Learning Malware Traffic Classification Based on Masked Autoencoder;IEEE Internet of Things Journal;2024-05-15

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