Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

Like how useful weather forecasting is, the capability of forecasting or predicting cyber
threats can never be overestimated. Previous investigations show that cyber attack data …

Modeling cybersecurity risks is an important, yet challenging, problem. In this paper, we
initiate the study of modeling multivariate cybersecurity risks. We develop the first statistical …

Recently, there are many denial-of-service (DoS) attacks by computer viruses or botnet. DoS
attacks to Web services are called HTTP-GET flood attack and threats of them increase day …

abstract Internet-based computer information systems play critical roles in many aspects of
modern society. However, these systems are constantly under cyber attacks that can cause …

Analyzing network traffic data to detect suspicious network activities (ie, intrusions) requires
tremendous effort due to the variability of the data and constant changes in network traffic …

Abstract Distributed Denial of Service (DDoS) attack is one of the most destructive internet
network attacks, denying legitimate users access to resources and networks by maliciously …

In recent years, cyberattacks have increased rapidly in huge volumes and diversity. Despite
the existence of advanced cyber-defence systems, attacks and intrusions still occur. Defence …

Nowadays, systems around the world face many cyber attacks every day. These attacks
consist of numerous steps that may occur over an extended period of time. We can learn …

Cyberthreats are continually evolving and growing in numbers and extreme complexities
with the increasing connectivity of the Internet of Things (IoT). Existing cyber-defense tools …