The fast development of communication technologies and computer systems brings several
challenges from a security point of view. The increasing number of IoT devices as well as …

Intrusion detection system (IDS) is one of extensively used techniques in a network topology
to safeguard the integrity and availability of sensitive assets in the protected systems …

The use of supervised learning algorithms to detect malicious traffic can be valuable in
designing intrusion detection systems and ascertaining security risks. The Internet of things …

In network defence, intrusion detection is crucial to identify malicious activities such as
attacks, intrusions, and malware. Intrusion Detection Systems (IDSs) are mandatory for …

Due to the extensive use of computer networks, new risks have arisen, and improving the
speed and accuracy of security mechanisms has become a critical need. Although new …

In light of the escalating ubiquity of the Internet, the proliferation of cyber-attacks, coupled
with their intricate and surreptitious nature, has significantly imperiled network security …

Due to the expansion and development of modern networks, the volume and
destructiveness of cyber attacks are continuously increasing. Intrusion Detection Systems …

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 …

Given the importance of the computer systems in our daily life today, it is decisive to be able
to protect the computer systems against attacks. Intrusion Detection Systems (IDSs) are the …

Many studies utilized machine learning schemes to improve network intrusion detection
systems recently. Most of the research is based on manually extracted features, but this …