B2VDM: Blockchain Based Vehicular Data Management
01 Sep 2018-pp 2337-2343
TL;DR: B2VDM, a novel architecture for vehicular data management at RSUs, that provides a seamless access control using Blockchain technology is introduced that maintains the reliability by minimizing the number of packet drops at a heavily loaded RSU during peak hours.
Abstract: Smart interconnected vehicles generate a huge amount of data to be used by a wide range of applications. Although cloud based data management is currently in practice, for many applications serving road safety or traffic regulation, it is utmost important that applications access these data at the site itself for improved quality of service. Road side units (RSUs) play a crucial role in handling these vast amount of vehicular data and serving the running applications in turn. In this current era of edge computing, in-place data access is also proven to be advantageous from cost point of view. As multiple applications from different service providers are interested to access different fragments of these data, a robust access control mechanism is needed to ensure desired level of security as well as reliability for these data. In this paper, we introduce B2VDM, a novel architecture for vehicular data management at RSUs, that provides a seamless access control using Blockchain technology. The proposed B2VDM framework also implements a simple load distribution module, which maintains the reliability by minimizing the number of packet drops at a heavily loaded RSU during peak hours. An extensive evaluation using Etherium Blockchain validates the effectiveness of the proposed architecture.
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TL;DR: The aim of this survey is to provide directions for future work in the area of Blockchain-based vehicular networks, and existing research works aiming to overcome vehicular challenges using the Blockchain technology are presented and compared.
67 citations
TL;DR: A novel blockchain-enabled model sharing approach is proposed to improve the performance of object detection with cross-domain adaptation for autonomous driving systems using a domain-adaptive you-only-look-once (YOLOv2) model.
Abstract: Object detection for autonomous driving is a huge challenge in the cross-domain adaptation scenario, especially for the time- and resource-consuming task. Distributed deep learning (DDL) has demonstrated a considerably good balance between efficiency and computation complexity. However, the reliability of DDL is low. Moreover, the cost of training data and model is not priced well. In this article, a novel blockchain-enabled model sharing approach is proposed to improve the performance of object detection with cross-domain adaptation for autonomous driving systems. Based on the blockchain and mobile-edge computing (MEC) technology, a domain-adaptive you-only-look-once (YOLOv2) model is trained across nodes, which can reduce significantly the domain discrepancy for different object categories. Furthermore, smart contracts are developed to perform data storage and model sharing tasks efficiently. The reliability of model sharing is ensured with blockchain consensus. We evaluate the proposed method under public data sets. The simulation results demonstrate that the efficiency and reliability of the proposed approach are better than the reference model.
59 citations
Cites background from "B2VDM: Blockchain Based Vehicular D..."
...Sharma and Chakraborty proposed a blockchain-based vehicular data management (B2VDM) framework [44], and the...
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TL;DR: Comprehensive security analysis and experimental results based on the real-world dataset show that BSFP achieves fairness, reliability and privacy protection with high efficiency.
Abstract: The convenience of using private cars has an accompanying parking challenge which becomes a significant issue in congested metropolitans and downtown areas. The explosive increase in the number of vehicles has substantially raised the issue of finding a suitable parking spot, which is both time and resource consuming. At the same time, many private parking spots remain idle, while their owners are not present at home. To promote the utility of private parking spots and mitigate parking issues, smart parking apps can be used. Unfortunately, some of them suffer from privacy issues that affect participation willingness, while others work in a centralized environment where the availability of service is not guaranteed in the presence of malicious users. In this work, we propose Blockchain-based Smart parking with Fairness, reliability and Privacy protection, called BSFP. Specifically, group signatures, bloom filters, and vector-based encryption are leveraged to protect the user's privacy. The decentralized nature of blockchain is utilized to achieve reliability in smart parking, and the smart contract is used to realize fairness. Comprehensive security analysis and experimental results based on the real-world dataset show that BSFP achieves fairness, reliability and privacy protection with high efficiency.
50 citations
Cites background from "B2VDM: Blockchain Based Vehicular D..."
...[34] introduced B2VDM, a decentralized architecture for vehicular data management in a vehicular network....
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TL;DR: The use of blockchain technology has recently become widespread. It is regarded as a decentralized, trustworthy, secure, transparent, and immutable solution that innovates data sharing and management as discussed by the authors .
Abstract: The use of Blockchain technology has recently become widespread. It has emerged as an essential tool in various academic and industrial fields, such as healthcare, transportation, finance, cybersecurity, and supply chain management. It is regarded as a decentralized, trustworthy, secure, transparent, and immutable solution that innovates data sharing and management. This survey aims to provide a systematic review of Blockchain application to intelligent transportation systems in general and the Internet of Vehicles (IoV) in particular. The survey is divided into four main parts. First, the Blockchain technology including its opportunities, relative taxonomies, and applications is introduced; basic cryptography is also discussed. Next, the evolution of Blockchain is presented, starting from the primary phase of pre-Bitcoin (fundamentally characterized by classic cryptography systems), followed by the Blockchain 1.0 phase, (characterized by Bitcoin implementation and common consensus protocols), and finally, the Blockchain 2.0 phase (characterized by the implementation of smart contracts, Ethereum, and Hyperledger). We compared and identified the strengths and limitations of each of these implementations. Then, the state of the art of Blockchain-based IoV solutions (BIoV) is explored by referring to a large and trusted source database from the Scopus data bank. For a well-structured and clear discussion, the reviewed literature is classified according to the research direction and implemented IoV layer. Useful tables, statistics, and analysis are also presented. Finally, the open problems and future directions in BIoV research are summarized.
37 citations
References
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01 Dec 2014
TL;DR: This paper outlines an experimentation based comparative analysis of the load balancing algorithms for different scenario use cases and concludes that the current approaches to load balancing are inadequate and need to be improved.
Abstract: Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. In cloud computing, load balancing is one of the key issues. Load balancing is the process of apportioning the load among various nodes of a distributed system to improve both resource utilization and job response time while avoiding a situation where some of the nodes are heavily loaded while others are idle. This paper outlines an experimentation based comparative analysis of the load balancing algorithms for different scenario use cases.
7 citations
"B2VDM: Blockchain Based Vehicular D..." refers background in this paper
...Various cloud-based load balancing techniques have been discussed in the literature [12], [13], [1]....
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