Abstract The Internet of Things (IoT) and other emerging communication and network
technologies enable improved efficiency, convenience, and connectivity in various domains …

With the increasingly intelligent services provided by the Internet, users' requirements are
further improved in communication quality. Real-time and accurate prediction of network …

Network anomaly detection faces unique challenges from dynamic traffic, including large
data volume, few attributes, and human factors that influence it, making it difficult to identify …

Analyzing network traffic activities is imperative in network security to detect attack patterns.
Due to the complex nature of network traffic event activities caused by continuously …

Accurate carbon price forecasting is crucial for effective carbon trading policies that mitigate
climate change. The volatility and uncertainty of carbon prices pose significant challenges …

Network traffic data analysis is important for securing our computing environment and data.
However, analyzing network traffic data requires tremendous effort because of the …

With the increasing level of industrial informatization, massive industrial data require real-
time and high-fidelity wireless transmission. Although some industrial wireless network …

In response to global climate change and intensified human activities, hydrological
conditions around the world have experienced significant shifts, particularly evident in the …

The stability and user trust in cloud services depends on prompt detection and response to
diverse anomalies. This study focuses on an Ensemble-based anomaly detection …

Analyzing network traffic over time is crucial for understanding the changes in network
activity. To properly examine network traffic patterns over time, multiple network events in …