Enhanced Few-Shot Malware Traffic Classification via Integrating Knowledge Transfer With Neural Architecture Search-Reference-Cited by-同舟云学术

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Enhanced Few-Shot Malware Traffic Classification via Integrating Knowledge Transfer With Neural Architecture Search

Published:2024 Issue: Volume:19 Page:5245-5256
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Zhang Xixi¹,Wang Qin¹^ORCID,Qin Maoyang¹,Wang Yu¹^ORCID,Ohtsuki Tomoaki²^ORCID,Adebisi Bamidele³^ORCID,Sari Hikmet¹^ORCID,Gui Guan¹^ORCID

Affiliation:

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

2. Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan

3. Department of Engineering, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, U.K.

Funder

Natural Science Foundation of the Higher Education Institutions of Jiangsu Province

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10517987.pdf?arnumber=10517987

Reference53 articles.

1. Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks

2. Adversarial Network Traffic: Towards Evaluating the Robustness of Deep-Learning-Based Network Traffic Classification

3. Malware Threat in Internet of Things and Its Mitigation Analysis

4. Malware propagation effects on SCADA system and smart power grid

5. Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-enabled Approach

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. Few-Shot Specific Emitter Identification Leveraging Neural Architecture Search and Advanced Deep Transfer Learning;IEEE Internet of Things Journal;2024-09-15

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