Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …

As computer networks keep growing at a high rate, achieving confidentiality, integrity, and
availability of the information system is essential. Intrusion detection systems (IDSs) have …

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 …

The growing digital transformation has increased the need for effective intrusion detection
systems. Traditional intrusion detection systems face challenges in accurately classifying …

Cybersecurity is challenging for security guards because of the rising quantity, variety, and
frequency of attacks and malicious activities in cyberspace. Intrusion attacks are among the …

Increasing the performance of intrusion detection models developed using machine
learning method with preprocessing applied to t Page 1 Journal of the Faculty of …

Security analysts have the knowledge necessary to identify the types of traffic that are
present in a network, identify instances of abnormally high traffic, and identify the network …

Securing critical infrastructure systems such as electricity, energy, health, management,
transportation, and production facilities against cyber attacks is the issue on which states …

Abstract Light fidelity (Li-Fi) technology is a communication technology using visible light. Li-
Fi technology solves the problem of radio frequency bandwidth shortage in wireless fidelity …

Abstract Nowadays, the Internet of Things (IoT) is considered a globally implemented
technology in automated network structures. However, the procedures utilized in IoT devices …