Natural language processing (NLP) tools have sparked a great deal of interest due to rapid
improvements in information and communications technologies. As a result, many different …

Internet of things (IoT) services are turning out to be more domineering with the rising
security considerations fading with time. All this owes to the propagating heterogeneity and …

Abstract Machine learning (ML) and deep learning (DL) techniques are applied in a broad
range of application fields where it proves its supremacy over other methods. ML and DL …

The intrusion detection systems (IDSs) developed based on classification algorithms for
securing wireless sensor networks (WSNs) are unable to attain the required detection …

There is a developing demand for natural resources because of the growing population.
Alternative materials have been developed to address these shortages, concentrating on …

Software-defined networking (SDN) represents a paradigm shift in network traffic
management. It distinguishes between the data and control planes. APIs are then used to …

Machine Learning and Deep Learning have been applied in Cybersecurity for more than a
decade, such as cyber-attack detection, intrusion detection, network traffic classification, and …

One of the most convenient ways to pay is by using a credit card. For both online and offline
transactions, it is a handy tool. Credit card numbers are used extensively in online …

The IoT (Internet of Things) is an ever-expanding system of interconnected computing
devices. It'sa term for when real-world items can communicate with one another via data …

The objective of the study is to identify the key factors of the stability of state information in
the face of terrorist threats based on the review of existing research in this area, and to …