Submission Deadline: 15 August 2018
IEEE Access invites manuscript submissions in the area of Security and Privacy for Vehicular Networks.
In recent years, Intelligent Transportation System (ITS) and vehicles, especially cars, have developed a lot. More and more sensors and communication technologies (e.g., cloud computing) are integrated with cars, which opens up a new design space for vehicular-based applications. Prospectively, vehicular networks are envisioned to support vehicular-based, road-based and traffic-based data sensing, transmitting and processing for ITS applications, and eventually evolve towards a new paradigm, named Vehicular Networks (VNs), which bundle the characteristics of networks into vehicular networks. The social features and mobility patterns of vehicles are used to design efficient and effective message forwarding methods. In common, network analysis techniques (such as node centrality, similarity, and community structure) are employed to explore the vehicles’ attributes and behavior, discover their relationships, and study their implications.
Although VNs are expected to have wide-range applications in future ITS services, considerable technical issues are challenging and need to be solved. The performance of content dissemination in VNs heavily relies on the communication between vehicles, and the behaviors of human beings inside. similar to an online networks, both malicious behaviors could exist and users’ privacy could be exposed in VNs. Therefore, as a crucial content transmission and processing platform for ITS, VNs should inherently ensure security and privacy from cyber physical systems to users. For example, the ways to protect location privacy in vehicular networks have been actively studied in recent years, as the locations of vehicles are frequently used for authentication during the data transmission process, which makes it easier for attackers to launch attacks by threaten the location privacy of vehicles. Mitigating security attacks and protecting individual privacy by developing security-aware techniques are pressing needs for researchers in academia and industry.
The objective of this Special Section in IEEE Access is to collect articles on the state of the art and practices of vehicular networks. In particular, we are soliciting theoretical and applied research in security and privacy solutions including algorithms, modeling, technologies and applications.
The topics of interest include, but are not limited to:
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Associate Editor: Zhaolong Ning, Dalian University of Technology, China
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IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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