Recurrent neural network rnn - Open Access .click

Expert Systems With Applications, 2021
Abstract Network traffic classification plays an important role in network monitoring and network management. With the continuous development of network technology, traditional methods of traffic classification have more limitations in accuracy to deal with encrypted traffic.
Huaxi Gu, Wenting Wei
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LSTM Recurrent Neural Network (RNN) for Anomaly Detection in Cellular Mobile Networks

Lecture Notes in Computer Science, 2019
Anomaly detection can show significant behavior changes in the cellular mobile network. It can explain much important missing information and which can be monitored using advanced AI (Artificial Intelligent) applications/tools. In this paper, we have proposed LSTM (Long Short-Term Memory) based RNN (Recurrent Neural Network) which can model a time ...
S. M. Abdullah Al-Mamun, Mehmet Beyaz
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Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks

Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, 2021
Certifiable robustness, the functionality of verifying whether the given region surrounding a data point admits any adversarial example, provides guaranteed security for neural networks deployed in adversarial environments. A plethora of work has been proposed to certify the robustness of feed-forward networks, e.g., FCNs and CNNs.
Tianyu Du +9 more
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fos: computer and information sciences
recurrent neural network
computer science - machine learning

machine learning cs.lg
deep learning
computer vision and pattern recognition cs.cv

recurrent neural networks
lstm
long short-term memory