In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

Internet was developed as a packet data network where users and data sources (server)
with specific IP addresses interacted over a pre-established communication channel. This …

This paper proposes a robust classification model, based on support vector machine (SVM),
which simultaneously deals with outliers detection and feature selection. The classifier is …

Intrusion detection has been an important countermeasure to secure computing
infrastructures from malicious attacks. To improve detection performance and reduce bias …

In the last few decades, various network attacks have emerged. This phenomenon requires
serious consideration to address its extensive consequences. To overcome the effects of …

Named Data Networking (NDN) is a prominent realization of the vision of Information-Centric
Networking. The NDN architecture adopts name-based routing and location-independent …

Abnormal network traffic analysis through Intrusion Detection Systems (IDSs) and
visualization techniques has considerably become an important research topic to protect …

One of the major obstacles in using radial basis function (RBF) neural networks is the
convergence toward local minima instead of the global minima. For this reason, an adaptive …

Intrusion detection has become important to network security because of the increasing
connectivity between computers and internet. Various Intrusion Detection Systems have …

In order to protect computing systems from malicious attacks, network intrusion detection
systems have become an important part in the security infrastructure. Recently, hybrid …