Figure 5
Source publication
The Internet of Things plays a predominant role in automating all real-time applications. One such application is the Internet of Vehicles which monitors the roadside traffic for automating traffic rules. As vehicles are connected to the internet through wireless communication technologies, the Internet of Vehicles network infrastructure is suscept...
Citations
... • Buffer overflow: This is an attack intended to fill the vehicle's memory buffer with more data than it can process. Such data overflow can cause the vehicle to malfunction and execute arbitrary code, which is exploited to gain control of the device [146]. • DoS: This is performed either by deauthentication or Wi-Fi jamming, which causes devices in the vehicular networks to crash [147]. ...
The Internet of Vehicles (IoV) and the Internet of Flying Vehicles (IoFV) are integral components of intelligent transportation systems with the potential to revolutionize the way we move people and goods. Although both the IoV and IoFV share a common goal of improving transportation efficiency, safety, and sustainability, they possess distinct characteristics and face unique challenges. To date, the existing literature has predominantly focused on specific aspects of either the IoV or IoFV, but a comprehensive review comparing and contrasting the two domains is still lacking. This review paper aims to address this gap by providing an in-depth analysis of the key differences between the IoV and IoFV systems. The review will examine the technological components, network infrastructure, communication protocols, data management, objectives, applications, challenges, and future trends associated with both domains. Additionally, this paper will explore the potential impact of technologies such as artificial intelligence, machine learning, and blockchain. Ultimately, the paper aims to contribute to a deeper understanding of the implications and potential of these technologies, both in the context of transportation systems and beyond.
The Social Internet of Vehicles (SIoV) is constructed so that the vehicle, as an entity, generates social awareness, which leads to the social behavior of the vehicle. The SIoV has multidimensional, heterogeneous, massive, real-time dynamic data, so its data security is a major concern. The structure of the SIoV and the characteristics of security primitives are studied in this review, which defines the social community by the vehicle. After this, the attack model is elaborated on, further refining the source, target, and capabilities of the attack. On this basis, typical data security solutions are compared and analyzed. In this survey, the focus is on the collaborative application of federated learning in SIoV data security protection. Ultimately, the current challenges and possible future research directions in this field are discussed.
