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

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

Adversarial attacks have threatened the credibility of machine learning models and cast doubts over the integrity of data. The attacks have created much harm in the fields of computer vision, and natural language processing. In this paper, we focus on the adversarial attack, in particular the poison...

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Bibliographic Details
Main Authors: Zhipeng Liu, Junyi Hu, Yang Liu, Kaushik Roy, Xiaohong Yuan, Jinsheng Xu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Generative adversarial network
the IoT
machine learning
network intrusion detection system
poisoning attack
Online Access:https://ieeexplore.ieee.org/document/10226215/

Internet

https://ieeexplore.ieee.org/document/10226215/

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