Machine learning (ML) is the latest buzzword growing rapidly across the world, and ML
possesses massive potential in numerous domains. ML technology is a subset of Artificial …

This article studies the development of a reliable AI model to detect fraudulent bank
transactions, including money laundering, and illegal activities with goods and services. The …

The performance results of the FFDNNs were calculated based on some important metrics
(FPR, FAR, F1 Measure, Precision), and these were compared to the conventional ML …

Cloud computing utilizes various Internet-based technologies to enhance the Internet user
experience. Cloud systems are on the rise, as this technology has completely revolutionized …

Nowadays, numerous attacks can be considered high risks in terms of the security of
Wireless Sensor Network (WSN). As a result, different applications are introduced to …

Artificial intelligence has been developed to be able to solve difficult problems that involve
huge amounts of data and that require rapid decision-making in most branches of science …

This paper stresses the need of recognizing network threats and intrusion detection systems
in the ever-changing cybersecurity environment. The paper discusses how increased data …

Intrusion detection datasets are highly likely to contain numerous redundant, irrelevant, and
noisy features that slow the performance of the machine learning techniques and classifiers …

Nowadays, electronic applications are being adopted instead of many traditional processes
in data and information management that use Internet technology as a transmission …

Machine learning has emerged as a transformative force, innovating diverse industries
through its capacity to infuse meaningful insights from large datasets. It plays a pivotal role in …