Abstract Internet Industrial Control Systems (IICSs) that connect technological appliances
and services with physical systems have become a new direction of research as they face …

Rapid progress of networking technologies leads to an exponential growth in the number of
unauthorized or malicious network actions. As a component of defense‐in‐depth, Network …

Due to the widespread use of the internet, computer systems are prone to information theft
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …

Machine Learning has been steadily gaining traction for its use in Anomaly-based Network
Intrusion Detection Systems (A-NIDS). Research into this domain is frequently performed …

Nowadays, network intrusion is considered as one of the major concerns in network
communications. Thus, the developed network intrusion detection systems aim to identify …

Abstract Network Intrusion Detection is the process of monitoring the events occurring in a
computer system or the network and analyzing them for the signs of possible intrusions. An …

Intrusion detection system (IDS) has become an essential layer in all the latest ICT system
due to an urge towards cyber safety in the day-to-day world. Reasons including uncertainty …

Abstract Even though advanced Machine Learning (ML) techniques have been adopted for
DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML …

The IoT is a network of interconnected everyday objects called “things” that have been
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …

Anomaly detection defines as a problem of finding those data samples, which do not follow
the patterns of the majority of data points. Among the variety of methods and algorithms …