The advancement of networking platforms for assured online services requires robust and
effective network intelligence systems against anomalous events and malicious threats. With …

The advent of IoT technology and the increase in wireless networking devices has led to an
enormous increase in network attacks from different sources. To maintain networks as safe …

According to the paradigm of the Internet of Things (IoT), physical devices are connected to
each other and to the Internet such that they operate automatically. One of the major …

Deep learning is increasingly used for unsupervised feature extraction and anomaly
detection in big datasets. Most deep learning based anomaly detection techniques …

Privacy has emerged as a top worry as a result of the development of zero-day hacks
because IoT devices produce and transmit sensitive information through the regular internet …

With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

The Internet and computer networks are currently suffering from serious security threats.
Those threats often keep changing and will evolve to new unknown variants. In order to …

With the development of Internet of Vehicles (IoVs) techniques, many emerging technologies
and their applications are integrated with IoVs. The application of these new technologies …

Anomaly detection in network traffic is one of the key techniques to ensure security in future
networks. Today, the importance of this topic is even higher, since the network traffic is …

Optimization of deep learning is no longer an imminent problem, due to various gradient
descent methods and the improvements of network structure, including activation functions …