107 天前 - … it puts computer networks and the Internet of Things (IoT) … associated with anomaly
identification when dealing with … Recently, deep learning techniques for anomaly detection …

109 天前 - … of neural network that can be used to detect anomalies in … architectures that can be
used for IoT security, including … ● Anomaly detection: Anomaly detection is a technique that …

109 天前 - … using analytics and machine learning. The text clearly explains theoretical aspects,
framework, system architecture, … and machine learning to detect and prevent cyber threats. …

109 天前 - … three-layer architecture of IoT sensing devices enabled edge … for IoT data
filtering/analytics based on outlier detection, … ) is fed into the convolutional neural network as the …

113 天前 - … The HTg-Net architecture synergistically melds two pivotal … trade-offs between
anomaly detection and supervised … -based surface defect detection using deep learning: A …

119 天前 - … for detecting MQTT a acks, such as deep neural networks (… architecture to enable
real-time monitoring and distributed … to the advancement of secure IoT networks and offers a …

120 天前 - … uses Convolutional Neural Network (CNN) to extract features. The CNN architecture
is … features necessary for anomaly detection from the raw data collected by IoT devices. …

121 天前 - … use deep learning methods directly for anomaly detection … fully Convolutional
Neural Network (CNN) for anomaly … and a two-stream architecture forms the backbone of our …

129 天前 - … Then, we propose three deep learning-based models to … vehicular abnormal
detection aims to detect anomalies by … Therefore, we introduce a multi-layered RNN architecture …

140 天前 - … and recurrent neural networks, enables … -IoT/AI system, at the heart of the architectural
design discussed in this paper, will be presented in Section 3. Sensor anomaly detection …