Abstract-In the Intelligent Vehicle Grid, the car is becoming a formidable sensor platform, absorbing information from the environment, from other cars (and from the driver) and feeding it to other cars and infrastructure to assist in safe navigation, pollution control and traffic management. The Vehicle Grid essentially becomes an Internet of Things (IOT), which we call Internet of Vehicles (IOV), capable to make its own decisions about driving customers to their destinations. Like other important IOT examples (e.g., smart buildings), the Internet of Vehicles will not merely upload data to the Internet using V2I. It will also use V2V communications between peers to complement on board sensor inputs and provide safe and efficient navigation. In this paper, we first describe several vehicular applications that leverage V2V and V2I. Communications with infrastructure and with other vehicles, however, can create privacy and security violations. In the second part of the paper we address these issues and more specifically focus on the need to guarantee location privacy to mobile users. We argue on the importance of creating public, open "smart city" data repositories for the research community and propose privacy preserving techniques for the anonymous uploading of urban sensor data from vehicles.
Safely avoiding accident prone routes is vital to maintain safe and intelligent transportation. Real‐time crowd sourcing of accident causing factors (eg, icy roads, rain slicked road patches) combined with historical accident information can be utilized by intelligent navigation systems to avoid accident prone routes. A vehicle cloud can compute such safe routes and react faster than a centralized service given crowdsourced data such as images, sensor readings, and so on. However, in addition to the intelligent routing, the security and privacy of each data owner must be provided as well. Additionally, crowdsourced information must be validated in the vehicular cloud. In this paper, we examine approaches to ensure safe, secure, and private vehicular clouds.
In content-based mobile ad hoc networks (CB-MANETs), random linear network coding (NC) can be used to reliably disseminate large files under intermittent connectivity. Conventional NC involves random unrestricted coding at intermediate nodes. This however is vulnerable to pollution attacks. To avoid attacks, a brute force approach is to restrict the mixing at the source. However, source restricted NC generally reduces the robustness of the code in the face of errors, losses and mobility induced intermittence. CB-MANETs introduce a new option. Caching is common in CB MANETs and a fully reassembled cached file can be viewed as a new source. Thus, NC packets can be mixed at all sources (including the originator and the intermediate caches) yet still providing protection from pollution. The hypothesis we wish to test in this paper is whether in CB-MANETs with sufficient caches of a file, the performance (in terms of robustness) of the restricted coding equals that of unrestricted coding.In this paper, we examine and compare unrestricted coding to full cache coding, source only coding, and no coding. As expected, we find that full cache coding remains competitive with unrestricted coding while maintaining full protection against pollution attacks.
Abstract-Situational awareness applications in disaster response and tactical scenarios require efficient communication without a managed infrastructure. In principle, the performance, size, weight, and power of commercial off-the-shelf mobile phones and tablets are sufficient to support such applications, provided that efficient protocols and mechanisms are put in place for the efficient and secure sharing and storage of content among such devices. ICEMAN (Information CEntric Mobile Ad-hoc Networking) is a system that allows applications to request content objects by their attributes, and integrates its API with utilitybased dissemination, caching, and network-coding mechanisms to deliver content. ICEMAN is implemented based on the Haggle architecture running in the Android operating system, and supports distributed situational-awareness applications operating in networks subject to severe disruption. Its functionality is described, and performance results of the ICEMAN implementation running in mobile phones and the CORE/EMANE network emulation are presented for several test scenarios 1 .I. INTRODUCTION Tactical and emergency response scenarios require efficient, robust, and secure network communication to quickly deliver data for situational awareness applications. The dynamic and resource limited constraints in these networks require that nodes opportunistically communicate with limited global knowledge, and make efficient use of the scarce available bandwidth. However, despite the remarkable increase in sensing, storage, processing, and communication capabilities in mobile devices, efficient dissemination and storage of content on the volatile network edge remains a challenging research problem. This paper presents and evaluates the ICEMAN (Information-CEntric Mobile Ad-hoc Networking) system. ICEMAN is an information-centric system designed for situational awareness applications operating in networks subject to severe disruption.Considerable work has been done on information-centric networking [5] over the past few years. Section II summarizes this prior work and motivates some of the design choices made in ICEMAN.Section III summarizes the main functionality of ICEMAN, which uses a publish-subscribe paradigm like prior ICN approaches, but adopts a declarative attribute-based approach
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