The widespread use of the Internet of Things and distributed heterogeneous devices has
shed light on the implementation of efficient and reliable intrusion detection systems. These …

Cyber security has recently received enormous attention in today's security concerns, due to
the popularity of the Internet-of-Things (IoT), the tremendous growth of computer networks …

Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …

Abstract Machine learning techniques have been widely used in intrusion detection for many
years. However, these techniques are still suffer from lack of labeled dataset, heavy …

As the alarming growth of connectivity of computers and the significant number of computer-
related applications increase in recent years, the challenge of fulfilling cyber-security is …

Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

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

For the purpose of improving the low detection performance of network intrusion detection
model caused by high‐dimensional data, and from the perspective of time correlation …

Due to the recent advancements in the Internet of things (IoT) and cloud computing
technologies and growing number of devices connected to the Internet, the security and …

ABSTRACT Network Intrusion Detection System (NIDS) is often used to classify network
traffic in an attempt to protect computer systems from various network attacks. A major …