Blockchain is a promising technology for establishing trust in IoT networks, where network nodes do not necessarily trust each other. Cryptographic hash links and distributed consensus mechanisms ensure that the data stored on an immutable blockchain can not be altered or deleted. However, blockchain mechanisms do not guarantee the trustworthiness of data at the origin. We propose a layered architecture for improving the end-to-end trust that can be applied to a diverse range of blockchain-based IoT applications. Our architecture evaluates the trustworthiness of sensor observations at the data layer and adapts block verification at the blockchain layer through the proposed data trust and gateway reputation modules. We present the performance evaluation of the data trust module using a simulated indoor target localization and the gateway reputation module using an end-to-end blockchain implementation, together with a qualitative security analysis for the architecture.
@cite_3 proposed the blockchain based Anonymous Reputation System (BARS), which uses direct historical interactions and indirect opinions about vehicles to establish a trusted communication environment for vehicular applications. Their system determines the trust level of broadcasted messages based on the reputation score of the vehicles. @cite_11 proposed a reputation based high-quality data sharing scheme for vehicular networks using a consortium blockchain, smart contracts, and a subjective logic model, which relies on interaction frequency, event timeliness, and trajectory similarity for reputation management. @cite_12 , authors proposed a distributed trust management scheme to calculate the credibility of exchanged messages based on the reputation value of observers in blockchain based vehicular networks.
@cite_12 @cite_3 @cite_11
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A Vehicular Ad hoc NETwork (VANET) is a self-organized network, formed by vehicles and some fixed equipment on roads called Roads Side Units (RSUs). Vehicular communications are expected to share different kinds of information between vehicles and infrastructure. Because of these specifications, securing VANET constitutes a difficult and challenging task that has attracted the interest of many researchers. In a previous work, we proposed a Clustering Mechanism for VANET (CMV) and its inherit Trust management scheme (TCMV) to ensure security of communication among vehicles. CMV organizes vehicles into clusters and elected Cluster Heads (CHs), and allows the clusters maintenance while dealing with velocity. On the other side, TCMV computes the credibility of the message by CH using the reputation of vehicles. However, we found that the value of credibility of the message by CH is not enough to verify if an exchanged message is correct or no. In order to provide a secured vehicle communication and to build reliance communication among vehicles, we propose a distributive trust management scheme for VANET to verify the correctness of the message based on the controlling of the vehicle'behavior by a miner and the credibility of message by a CH. The public key infrastructure-based authentication protocol provides basic security services for the vehicular ad hoc networks (VANETs). However, trust and privacy are still open issues due to the unique characteristics of VANETs. It is crucial to prevent internal vehicles from broadcasting forged messages while simultaneously preserving the privacy of vehicles against the tracking attacks. In this paper, we propose a blockchain-based anonymous reputation system (BARS) to establish a privacy-preserving trust model for VANETs. The certificate and revocation transparency is implemented efficiently with the proofs of presence and absence based on the extended blockchain technology. The public keys are used as pseudonyms in communications without any information about real identities for conditional anonymity. In order to prevent the distribution of forged messages, a reputation evaluation algorithm is presented relying on both direct historical interactions and indirect opinions about vehicles. A set of experiments is conducted to evaluate BARS in terms of security, validity, and performance, and the results show that BARS is able to establish a trust model with transparency, conditional anonymity, efficiency, and robustness for VANETs. The drastically increasing volume and the growing trend on the types of data have brought in the possibility of realizing advanced applications such as enhanced driving safety, and have enriched existing vehicular services through data sharing among vehicles and data analysis. Due to limited resources with vehicles, vehicular edge computing and networks (VECONs) i.e., the integration of mobile edge computing and vehicular networks, can provide powerful computing and massive storage resources. However, road side units that primarily presume the role of vehicular edge computing servers cannot be fully trusted, which may lead to serious security and privacy challenges for such integrated platforms despite their promising potential and benefits. We exploit consortium blockchain and smart contract technologies to achieve secure data storage and sharing in vehicular edge networks. These technologies efficiently prevent data sharing without authorization. In addition, we propose a reputation-based data sharing scheme to ensure high-quality data sharing among vehicles. A three-weight subjective logic model is utilized for precisely managing reputation of the vehicles. Numerical results based on a real dataset show that our schemes achieve reasonable efficiency and high-level of security for data sharing in VECONs.