In this paper, we propose a novel, practical and fast ensemble model (FastCBLA-EM) to detect the LDDoS attacks.

Mar 1, 2024 · It used a competitive network composed of 1-D CNN and a bi-LSTM network to learn feature representations of samples, and then, an arbitration ...

A deep convolutional neural network (CNN) ensemble framework for efficient DDoS attack detection in SDNs is proposed and is evaluated on a current ...

Apr 25, 2024 · A Deep 1-D CNN and Bidirectional LSTM Ensemble Model With Arbitration Mechanism for LDDoS Attack Detection. IEEE Trans. Emerg. Top. Comput ...

A Deep 1-D CNN and Bidirectional LSTM Ensemble Model With Arbitration Mechanism for LDDoS Attack Detection · LRDADF: An AI Enabled Framework for Detecting Low- ...

Mar 7, 2024 · This paper proposes a novel multi-scale Convolutional Neural Networks (CNN) and bidirectional Long-short Term Memory (bi-LSTM) arbitration dense ...

This paper proposes a novel multi-scale Convolutional Neural Networks (CNN) and bidirectional Long-short Term Memory (bi-LSTM) arbitration dense network model ( ...

A Deep 1-D CNN and Bidirectional LSTM Ensemble Model With Arbitration Mechanism for LDDoS Attack Detection. 2022, IEEE Transactions on Emerging Topics in ...

Missing: Bidirectional Arbitration Mechanism

Design and placement of Intrusion Detection Systems (IDS) for DDoS attacks on IoT systems are challenging due to the low power and lossy nature of networks.