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

… 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 …

… 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 […

… Although there is an enormous way to identify malicious activities by sensing and analyzing
the packet headers in the VANET network, we consider most important three parameters that …

… method based on the entire vehicular network. This paper proposes … VANET (SDVN) intrusion
detection framework that combines FL and SDNs training detection model with the security …

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

… 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 …

… to identify attacks on vehicular systems. In this article, an efficient model of an Intrusion
Detection System (IDS) is developed to detect anomalies in the vehicular system. The dataset …

… was used to represent vehicle network-traffic. … collaborative intrusion detection system (MA-CIDS)
is proposed using distributed ensemble learning to improve the efficacy of the VANET …

… introduces a novel intrusion detection framework for in-vehicle networks based on integrating
… learning, improving the detection capabilities of individual vehicles within the network. Our …