… ad hoc … machine learning to complications in ad hoc networks and various protocols of
MANETs. The explanation of various machine learning approaches for use in wireless ad hoc …

Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent transportation
system (ITS) that enables vehicles to communicate over the wireless communication …

… threat base on machine learning methods. The classification is performed with several
ways of machine learning consisting of K-nearest neighbor (KNN), support vector machine (SVM), …

Vehicular Ad hoc Networks (VANETs) provide effective vehicular operation for safety as well
as greener and more efficient communication of vehicles in the Dedicated Short Range …

… machine learning algorithms are used for clustering the large data set and multi-dimensional
features space of VANets. Generally, the machine learning … unsupervised machine learning …

… Request route flooding attack is one of the main challenges in the security of Mobile Ad Hoc
… (FADA) for MANETs based on a machine learning approach. The algorithm relies on the …

… vehicular ad hoc network (VANET) is a type of mobile ad hoc … the attacking strategies of
ad hoc networks. Although many … various schemes based on machine learning algorithms to …

… In this paper, we propose a wireless ad hoc federated learning (WAFL) – a fully distributed
cooperative machine learning organized by the nodes physically nearby. WAFL can develop …

… ad-hoc mobile networks, including wired connections as well for the Control and other IOT
devices. Wireless ad-hoc … was to introduce the idea of a trusted device in ad-hoc networks. …