Aug 16, 2024 · We propose a big data-driven framework for DDoS attack detection by combining four aspects: Data modeling, data preprocessing, data denoising and data ...
We propose a framework for DDoS attack detection by combining three aspects: data preprocessing, data denoising, data classification.
IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks.
IDAD: an Improved Tensor Train Based Distributed DDoS Attack Detection Framework and Its Application in Complex Networks · Puming Wang · Xin Jin · Shaowen Yao ...
IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks. Future Gener. Comput. Syst. 162 ...
To face this challenge, this paper proposes a novel tensor based framework for DDoS attack detection using concepts of multiple denoising, tensor decomposition ...
IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks. Future Gener. Comput. Syst. 162 ...
Works (4). sort. IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks. Future Generation ...
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IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks. With the vigorous development of ...
In this work, we introduce an enhanced approach for DDoS attack detection by leveraging the capabilities of Deep Residual Neural Networks (ResNets) coupled with ...