… an accurate and lightweight intrusion detection framework, called AECFV, that aims to … an
accurate and lightweight intrusion detection framework for the cluster-based vehicular network …

… -oriented vehicular networks and highlight some intrusion detection schemas for … network
model that we attempt to secure. Section III presents details about our intrusion detection …

… And recently, IDS has also become increasingly popular to address security issues in
vehicular networks. According to deployment locations, IDS in VANETs can be classified into the …

… In [17], a game-theory based intrusion detection framework and a novel clustering algorithm
have been developed for VANETs. By using their specification rules and a lightweight …

… of vehicular communication, which raises serious security threats. In this paper, a distributed
collaborative intrusion detection … management of the vehicle network security applications. …

… This document is structured as follows: In Section 2, we highlight some intrusion detection …
a vehicular network and that we attempt to detect. In Section 3, our social vehicular clustering …

… However, collaboration introduces the challenge of energy efficiency and event processing
… a collaborative intrusion detection framework (COLIDE) for IoT leveraging collaboration …

… more accurate intrusion detection. This paper presents a hierarchical framework for a
Collaborative Intrusion Detection Network (CIDN) that allows the AV platoons to share detection …

… As a moving edge computing node, an edge vehicle in a vehicle network has … ’ intrusion
detection data. Mobile Crowd-Machine Learning can effectively improve collaboration efficiency […

… in which the efficiency and accuracy of the intrusion detection framework can be enhanced
… The usage of different protocols and data diversity of the modern VANET networks induces …