The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …

The distributed structure of traditional networks often fails to promptly and accurately provide
the computational power required for artificial intelligence (AI), hindering its practical …

Prediction of air pollution index may help in traffic routing and identifying serious pollutants.
Modeling of the complex relationships between these variables by sophisticated methods in …

Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …

Software-defined networking (SDN) has significantly transformed the field of network
management through the consolidation of control and provision of enhanced adaptability …

Intelligent Transport Systems (ITS) have provided new technologies to protect human life,
speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians …

Mobile ad hoc network (MANET) plays a major role in wireless devices such as defense and
flooding. Despite their smart applications, MANET faces more security issues than traditional …

Abstract Support Vector Machine (SVM) is one of the successful methods of machine
learning. SVM uses kernel tricks to efficiently learn non-linear classification tasks. The kernel …

Abstract Software Defined Networking (SDN) is a paradigm shift in the network industry with
decoupling of control and data plane. This helps network engineers to control and manage …

The paper presents an approach for detecting Distributed Denial of Service (DDoS) attacks
using machine learning and blockchain technology. With the increasing complexity and …