To have your paper included, submit by January 30, 2019 (extended)

Currently, most computing systems, including cloud computing, vehicle networks, and Cyber-Physical Systems (CPS), are mostly parallel and distributed systems. However, the distributed nature may expose these systems to unexpected security and privacy issues, i.e., the vulnerability vectors may be shared by the whole system or network, as all system devices or sensors are connected with each other.

In addition, Internet of Vehicles (IoV) receives more attention, as it is an important part of intelligent transportation system. It enables information sharing and the gathering of information on vehicles, roads, and their surroundings through V2X communications, e.g., vehicle-to-vehicle (V2V), vehicle-to-roadside unit (V2R), vehicle-to-people (V2P), and vehicle-to-network communications. Based on V2X communications, many safety-related and value-added applications can be realized. For instances, vehicle guidance and supervision, real-time road traffic information sharing, and infotainment. With the rapid development of communication and computation technologies, IoV can provide many commercial interests and research values.

Generally, distributed sensor networks and IoV can offer tremendous benefits; however, they are also facing various security and privacy issues. A distributed sensor network, and an IoV system may be attacked by different intrusion approaches, e.g., jamming, tampering and eavesdropping. The major security concerns include but not limited to authenticity, confidentiality, integrity and availability. Moreover, security in IoV also implies the ability to ensure vehicle responsibility while maintaining vehicle privacy, i.e., drivers’ identities and location history are a kind of sensitive information. Over the years, many secure and privacy-preserving schemes have been proposed for distributed sensor networks and IoV, but they still face many challenges. For instance, how to verify and transmit numerous (vehicular) messages in high-density traffic, and how to manage security and privacy in distributed sensor networks and IoV in a decentralized and trustworthy manner.

This Special Collection aims to attract contributions from both academic and industrial organizations addressing emerging security and privacy issues in distributed sensor networks and IoV, and to publish consolidated research results focusing on analyzing security and privacy threats, applying cutting-edge technologies to provide secure and privacy-preserving communications in this field.

The potential topics include, but are not limited to the following:

Security framework of distributed networks and IoV

Privacy-preserving data aggregation for distributed networks and IoV

Privacy evaluation for distributed networks and IoV

Secure routing for distributed networks and IoV

Secure and privacy-preserving distributed networks and IoV

Secure vehicular fog computing for distributed networks and IoV

Security in cloud-based distributed networks and IoV

Access control in distributed networks and IoV

Vulnerability scanning technologies for distributed networks and IoV

Intrusion detection technologies for distributed networks and IoV

Keywords: Distributed network, security challenges, privacy issues, vehicle network, security and privacy solutions, intrusion detection