Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …

A network based Intrusion Detection System (IDS) gathers and analyzes network packets
and report possible low level security violations to a system administrator. In a large network …

Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

Network threats and hazards are evolving at a high-speed rate in recent years. Many
mechanisms (such as firewalls, anti-virus, anti-malware, and spam filters) are being used as …

Network Intrusion Detection Systems (NIDS) are designed to safeguard the security needs of
enterprise networks against cyber-attacks. However, NIDS networks suffer from several …

In this paper, the problem of the networked set-membership state estimation is discussed for
a class of nonlinear discrete time-varying systems subject to cyber attacks and time delays …

Abstract Context Big Data Cybersecurity Analytics (BDCA) systems leverage big data
technologies for analyzing security events data to protect organizational networks …

Web servers are usually located in a well-organized data center where these servers
connect with the outside Internet directly through backbones. Meanwhile, the application …

In general, data and information fusion can provide enhancement to the outcomes of
processes for solving various application problems. Some advantages of carrying out DIF …

Network intrusion detection systems based on the anomaly detection paradigm have high
false alarm rate making them difficult to use. To address this weakness, we propose to …