Automotive telematics may be defined as the informationintensive applications that are being enabled for vehicles by a combination of telecommunications and computing technology. Telematics by its nature requires the capture of sensor data, storage and exchange of data to obtain remote services. In order for automotive telematics to grow to its full potential, telematics data must be protected. Data protection must include privacy and security for end-users, service providers and application providers. In this paper, we propose a new framework for data protection that is built on the foundation of privacy and security technologies. The privacy technology enables users and service providers to define flexible data model and policy models. The security technology provides traditional capabilities such as encryption, authentication, non-repudiation. In addition, it provides secure environments for protected execution, which is essential to limiting data access to specific purposes.
Existing solutions to protect consumer privacy in RFID either put the burden on the consumer or suffer from the very limited capabilities of today's RFID tags. We propose the use of physical RFID tag structures that permit a consumer to disable a tag by mechanically altering the tag in such a way that the ability of a reader to interrogate the RFID tag by wireless mean is inhibited. In "clipped tags", consumers can physically separate the body (chip) from the head (antenna) in an intuitive way. Such a separation provides visual confirmation that the tag has been deactivated. However, a physical contact channel may be used later to reactivate it. Such a reactivation would require deliberate actions on the part of the owner of the RFID tag to permit the reactivation to take place. Thus reactivation could not be undertaken without the owner's knowledge unless the item were either stolen or left unattended. This mechanism enables controlled reuse after purchase, making clipped tags superior to other RFID privacy-enhancing technologies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.