LSTM-CGAN: Towards Generating Low-Rate DDoS Adversarial Samples for Blockchain-Based Wireless Network Detection Models

LSTM-CGAN: Towards Generating Low-Rate DDoS Adversarial Samples for Blockchain-Based Wireless Network Detection Models

Low-rate Distributed DoS (LDDoS) attack is a complex large-scale attack behavior with strong time-domain characteristics in blockchain-based wireless network. Blockchain with Machine learning-based models, as promising ways, are taken to detect them and secure wireless network. However, researchers...

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Bibliographic Details
Main Authors: Zengguang Liu, Xiaochun Yin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Blockchain
condition generative adversarial networks
long short-term memory networks
neural networks
network security
wireless network
Online Access:https://ieeexplore.ieee.org/document/9344707/

Internet

https://ieeexplore.ieee.org/document/9344707/

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