Towards a Blockchain-based Identity and Trust Management Framework for the IoV Ecosystem

Abstract

The past decade has seen a huge growth not only in the Internet of Things (IoT) but also in the Internet of Vehicles (IoV) from both academia and industry. Autonomous Vehicles (AVs) combine a variety of sensors, IoT devices, control units, gateways, etc. Therefore, the software of the different sensors and IoT devices needs to be updated to the latest version by the Software Vendors. This paper proposes a blockchain-based identity and trust management framework for the IoV ecosystem, that aims to provide secure software updates. The proposed framework consists of two processes: the identification and registration of the entities of the ecosystem, and the authentication of the entities which relies on established W3C standards for defining verifiable credential presentation, verification, and revocation. We illustrate the feasibility of our approach in a case study.

Privacy and Trust in the Internet of Vehicles

“…Trust is an important concern in the IoV with numerous mentions in the literature (e.g. [31], [39], [46], [47]). Ondemand services will likely see unprecedented usage in the IoV.…”

“…On top of these, devices such as vehicles, sensors, gateways and control units will need to be updated constantly. Toward secure software updates, [47] propose a blockchain-based identity and trust management framework.…”

Smart Identification System on Internet of Things for User Authentication

“…The personality definition is extended to things in the IoT's particular circumstance. Personality is regarded as an endpoint that allows concerned things to openly and effectively access endpoints [6]. Clients can use and change information through the well-known proof cycle, which also allows for customization of administrations and communications [7].…”

“…• Possession of something:The client provides biometric data, which includes specific physical and social properties such as speech, advanced picture of the face, retina, unique mark, and so on. Despite the fact that biometric data is new and intended to be unaltered, there is a risk associated with its intentional or unintentional use (taken, duplicated, or misrepresented) [6]. • Something that is well known: The client provides confidential information (for example, username/secret key, designs, and graphical images).…”

“…• Something that is well known: The client provides confidential information (for example, username/secret key, designs, and graphical images). These techniques allow the client to remember private data, which is usually difficult to keep hidden from other clients [6].…”