… use the machine learning algorithms … machine learning algorithms widely used by the
automotive industries, and a comparison is made between them concerning the Vehicular Ad Hoc …

… In this paper we surveyed different machine learning techniques that are used in ad hoc
network to prevent malicious activities and predict the future node as per behavior or past …

… 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 …

… Machine learning (ML) driven solutions have been widely used to secure wireless
communications Vehicular ad hoc … Unlike existing works, this paper applies support vector …

… 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 …

… networks (MANET), and vehicular ad hoc networks (VANET). … communications using
the machine learning approach. The … are a critical concern in vehicular ad hoc networks (VANET) …

… 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. …

… in VANETs using machine learning techniques. In this paper machine learning is going to
… In this paper two types of machine learning classification techniques are used that is binary …

… RSU and using the fast machine learning platform increases the … ’s ability to convert machine
learning models into compressed … with compressed machine learning classification models …