Classifying abnormal log messages into different categories helps monitoring personnel quickly identify errors and take timely measures to protect the devices.
To further understand this, we consider a challenging classification problem with intrinsic cluster structures, which is hard to learn using a single expert.
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Effective Classification for Logs of Routers Based on MLP Neural Networks. BT Nguyen-Tat, DK Nguyen. 2023 15th International Conference on Knowledge and ...
Nov 21, 2024 · Efficient Log-based Anomaly Detection with Knowledge Distillation ... Effective Classification for Logs of Routers Based on MLP Neural Networks.
Effective Classification for Logs of Routers Based on MLP Neural Networks. BT Nguyen-Tat, DK Nguyen. 2023 15th International Conference on Knowledge and ...
7 days ago · This paper presents a novel traffic classification framework for SDN-based IoT networks, introducing a Two-Level Fused Network integrated with a ...
This work develops a distinctive multi-layer perception (MLP) neural network-based path loss model with well-structured implementation network architecture.
The experiments show that the best settings of the proposed approach include oversampling by the intrusion type identification label (ITI), 150 neurons for the ...
Mar 15, 2021 · This paper provides a comprehensive review on applications of deep learning in NTMA. We first provide fundamental background relevant to our review.
Multi-layer Perceptron classifier. This model optimizes the log-loss function using LBFGS or stochastic gradient descent.