Wireless sensor networks (WSN) are fundamental to the Internet of Things (IoT) by bridging
the gap between the physical and the cyber worlds. Anomaly detection is a critical task in …

The increased use of Industrial Wireless Sensor Networks (IWSN) in a variety of different
applications, including those that involve critical infrastructure, has meant that adequately …

In this paper, we discuss the application of machine learning techniques for performance
prediction problems in wireless networks. These problems often involve using existing …

Detecting anomalous behavior in wireless spectrum is a demanding task due to the sheer
complexity of the electromagnetic spectrum use. Wireless spectrum anomalies can take a …

It is an era of Internet of Things, where various types of sensors, especially wireless, are
widely used to collect huge amount of data to feed various systems such as surveillance …

Wireless Sensor Network (WSN) is an important research area nowadays. Wireless Sensor
Network is deployed in hostile environment consisting of hundreds to thousands of nodes …

Internet of Things is an ever-growing network of heterogeneous and constraint nodes which
are connected to each other and Internet. Security plays an important role in such networks …

Smart cities work with large volumes of data from sensor networks and other sources. To
prevent data from being compromised by attacks or errors, smart city IT administrators need …

Because of the high integration of control, communication, computer and network
technology, how to deal with various anomaly behaviors of control systems is a problem that …

In recent years, the lack of network traffic analysis and flexible network topologies reduce the
performance of the multi-channel multi-radio wireless networks. As high scalability of its …