In this paper, we adopt a feature selection algorithm based on Fisher to select feature subsets, and three typical neural network algorithms for classification ...
We use the Fisher feature selection algorithm to reduce the original data dimension, and implement. BP neural network, RBF neural network, and neural networks.
The proposed Multi-level NIDS to detect intrusions and the type of intrusion in traditional/Cloud network and the experimental results shows the efficiency ...
Aug 20, 2024 · This study introduces an intrusion detection method that combines an attention mechanism, Bidirectional Gated Recurrent Units (BiGRU), and Inception ...
Jun 1, 2024 · This study provides an updated learning strategy for artificial neural network (ANN) to address data categorization problems caused by unbalanced data.
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Oct 22, 2024 · This technique is integrated with an Artificial Neural Network (ANN) for classifying and detecting irregularities in network communication efficiency.
In this paper, we propose a new approach, called FC-ANN, based on ANN and fuzzy clustering, to solve the problem and help IDS achieve higher detection rate.
Missing: improved | Show results with:improved
Mar 24, 2024 · Automated Anomaly Detection (AD) systems that can spot suspicious activities are perfect for cloud computing applications.
Abstract: In this paper we discuss the main research approaches in the development of automated and systematic methods for intrusion detection.
Based on the statistics and significance tests, on the NSL-KDD dataset, the proposed classifier shows 85.8% accuracy, 86.8% sensitivity, and 88.0% detection ...