Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network-Reference-Cited by-同舟云学术

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Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network

Published:2023 Issue: Volume:11 Page:91116-91132
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Zhipeng¹^ORCID,Hu Junyi²^ORCID,Liu Yang³^ORCID,Roy Kaushik³^ORCID,Yuan Xiaohong³,Xu Jinsheng³

Affiliation:

1. Fidelity Investments, Boston, MA, USA

2. Department of Computer Science, University of Massachusetts (UMASS) Lowell, Lowell, MA, USA

3. Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10226215.pdf?arnumber=10226215

Reference84 articles.

1. Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning

2. Training data augmentation: An empirical study using generative adversarial net-based approach with normalizing flow models for materials informatics

3. Machine Learning Integrity and Privacy in Adversarial Environments

4. Speech emotion recognition using data augmentation method by cycle-generative adversarial networks

5. Using Embedded Feature Selection and CNN for Classification on CCD-INID-V1—A New IoT Dataset

Cited by 3 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. Enhancing network intrusion detection performance using generative adversarial networks;Computers & Security;2024-10

2. Adversarial Attacks on Deep Learning-Based Network Intrusion Detection Systems: A Taxonomy and Review;2024

3. Evasion Scheme for Intrusion Detection System Based on Demgan;2024

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