Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …

The rapid increase in network traffic has recently led to the importance of flow-based
intrusion detection systems processing a small amount of traffic data. Furthermore, anomaly …

In recent years, machine learning-based cyber intrusion detection methods have gained
increasing popularity. The number and complexity of new attacks continue to rise; therefore …

Edge computing (EC), is a technological game changer that has the ability to connect
millions of sensors and provide services at the device end. The broad vision of EC integrates …

In recent years, network traffic data have become larger and more complex, leading to
higher possibilities of network intrusion. Traditional intrusion detection methods face …

It has been over 16 years since Cisco's NetFlow was patented in 1996. Extensive research
has been conducted since then and many applications have been developed. In this survey …

Attacks over the Internet are becoming more and more complex and sophisticated. How to
detect security threats and measure the security of the Internet arises a significant research …

In recent years, the number of people using the Internet and network services is increasing
day by day. On a daily basis, a large amount of data is generated over the Internet from zeta …

Internet of Things (IoT) has entered a stage of rapid development and increasing
deployment. Meanwhile, these low-power devices typically cannot support complex security …