Abstract The integration of Software-Defined Networking (SDN) and Machine Learning (ML)
provides a promising framework for creating adaptive, secure, and responsive networks …

Cybersecurity is, in modern times where so much'technology'is harnessing and heavy use of
the Internet, needed to prevent loss of sensitive data, respect user privacy, and assure …

With the help of artificial intelligence methods like as generative adversarial networks
(GANs), deepfake technology has developed to produce incredibly lifelike but fraudulent …

The increasing complexity of modern network infrastructures presents significant challenges
in maintaining performance and service reliability. Traditional reactive maintenance …

Zero trust (ZT) represents a set of evolving cybersecurity principles that shift defense
strategies from fixed, network-centered perimeters to a focus on users, assets, and …

Nowadays, high latency in Edge Computing (EC) for Internet of Things (IoT) devices due to
network congestion and online traffic reduces the acquired precision, performance, and …

The Tor network is a fundamental element of the dark web that provides users with secure
and shadowy access to data and communication. Originally tor was developed for privacy …

Meanwhile, security concerns of cloud computing services have grown more diverse and
pressurizing with evolution of existing cloud services known to overtake traditional security …

With the growth in the number of network users because of improvements in network
technologies, there has been a corresponding increase in the traffic data on networks, which …

The application of artificial intelligence (AI), a cutting-edge technology that emulates human
intelligence and learning abilities, holds immense potential for advancing computer …