VehicleChain: Blockchain-based Vehicular Data Transmission Scheme for Smart City

Patel, Arkil; Shah, Naigam; Limbasiya, Trupil; Das, Debasis

doi:10.1109/smc.2019.8914391

Cited by 18 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xie et al (2019) developed a blockchain-based security framework to support vehicular IoT applications, such as real-time cloud-based video reporting and vehicular message trust management. Patel et al (2019) presented "VehicleChain", a protocol that integrates blockchain with elliptic curve cryptography to increase VANET security without raising processing expenses. Insider, server spoofing, modification, man-in-the-middle, plaintext, replay, and impersonation are all attacks that the VehicleChain can defend against.…”

Section: Data Techniques: Blockchainmentioning

confidence: 99%

On trust management in vehicular ad hoc networks: A comprehensive review

Che¹,

Duan²,

Li³

et al. 2022

Front. Internet Things

View full text Add to dashboard Cite

Security issues have always posed a major threat and challenge to the Internet of Things (IoTs), especially the vehicular ad-hoc networks (VANETs), a subcategory of IoTs in the automotive field. The traditional methods to solve these ever-growing security issues in VANETs are mainly cryptography-based. As an effective and efficient complement to those solutions, trust management solutions and reputation models have been widely explored to deal with malicious or selfish vehicle intrusion and forged data spoofing, with the aim of enhancing the overall security, reliability, trustworthiness, and impartiality of VANETs. For the integrity of the article, this survey begins with providing the background information of VANETs, including the basic components and general architecture. Then, many attacks in VANETs are investigated, analyzed, and compared to understand the functional relevance of the following trust and reputation methods. Various approaches offer various countermeasures against these types of attacks. At the same time, the latest development of emerging technologies such as blockchain, software-defined network, and cloud computing opens up new possibilities for more and more promising trust and reputation management models and systems in VANETs. After that, the survey reviews the most important trust and reputation models and schemes which are widely mentioned in the literature based on our developed technique-based taxonomy, in contrast to the popular “entity-centric, data-centric, hybrid” taxonomy in the field, to adapt to the recent technological development of these management schemes in VANETs. Finally, discussions and speculations on the future direction of research into the trust and reputation management in VANETs are presented.

show abstract

Section: Data Techniques: Blockchainmentioning

confidence: 99%

On trust management in vehicular ad hoc networks: A comprehensive review

Che¹,

Duan²,

Li³

et al. 2022

Front. Internet Things

View full text Add to dashboard Cite

show abstract

“…Then, we deploy three actual rodeside units (RSU) to evaluate the variation of results. Because the computing power of actual RSU is similar to that of Raspberry Pi [38,39], the actual RSU is represented by the Raspberry Pi 4. Parameter settings: The radio link transmission rate from n-th BS to the UAV is r n t ∈ {2 Mb/s, 6 Mb/s, 10 Mb/s}.…”

Section: Experiments Settingsmentioning

confidence: 99%

UAV-Assisted Privacy-Preserving Online Computation Offloading for Internet of Things

Wei

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

Unmanned aerial vehicle (UAV) plays a more and more important role in Internet of Things (IoT) for remote sensing and device interconnecting. Due to the limitation of computing capacity and energy, the UAV cannot handle complex tasks. Recently, computation offloading provides a promising way for the UAV to handle complex tasks by deep reinforcement learning (DRL)-based methods. However, existing DRL-based computation offloading methods merely protect usage pattern privacy and location privacy. In this paper, we consider a new privacy issue in UAV-assisted IoT, namely computation offloading preference leakage, which lacks through study. To cope with this issue, we propose a novel privacy-preserving online computation offloading method for UAV-assisted IoT. Our method integrates the differential privacy mechanism into deep reinforcement learning (DRL), which can protect UAV’s offloading preference. We provide the formal analysis on security and utility loss of our method. Extensive real-world experiments are conducted. Results demonstrate that, compared with baseline methods, our method can learn cost-efficient computation offloading policy without preference leakage and a priori knowledge of the wireless channel model.

show abstract

“…However, browsing the literature related to blockchain applications makes the blockchain seem as an almost universal, limitless technology. The application range for the blockchain, in fact, seems to be so broad to include: Supply Chain Management [1][2][3][4], E-Voting [5][6][7][8][9][10][11][12], Smart-Grid [13][14][15][16][17][18][19][20], Healthcare [21][22][23][24], Banking [25,26], Smart Cities [27][28][29] and even Vehicular [30][31][32][33][34][35][36][37][38][39][40][41][42][43] and Drone [44][45][46][47][48] Networks, going way beyond the original cryptocurrencies such as Bitcoin and Ethereum. We argue that this app...…”

Section: Towards a Blockchain Definitionmentioning

confidence: 99%

“…The blockchain features observed in Bitcoin, i.e., decentralization, resistance to powerful cyberattacks and preservation of users privacy, raised the enthusiasm of many research communities. This enthusiasm led to an extremely large number of disparate proposals for using the blockchain in many different applications, including Supply Chain Management [1][2][3][4], E-Voting [5][6][7][8][9][10][11][12], Smart Grid [13][14][15][16][17][18][19][20], Healthcare [21][22][23][24], Banking [25,26], Smart Cities [27][28][29], and even Vehicular and Aerial Networks [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48]…”

Section: Introductionmentioning

confidence: 99%

What is a Blockchain? A Definition to Clarify the Role of the Blockchain in the Internet of Things

Ghiro¹,

Restuccia²,

Basagni³

et al. 2021

Preprint

View full text Add to dashboard Cite

The use of the term blockchain is documented for disparate projects, from cryptocurrencies to applications for the Internet of Things (IoT), and many more. The concept of blockchain appears therefore blurred, as it is hard to believe that the same technology can empower applications that have extremely different requirements and exhibit dissimilar performance and security. This position paper elaborates on the theory of distributed systems to advance a clear definition of blockchain that allows us to clarify its role in the IoT. This definition inextricably binds together three elements that, as a whole, provide the blockchain with those unique features that distinguish it from other distributed ledger technologies: immutability, transparency and anonimity. We note however that immutability comes at the expense of remarkable resource consumption, transparency demands no confidentiality and anonymity prevents user identification and registration. This is in stark contrast to the requirements of most IoT applications that are made up of resource constrained devices, whose data need to be kept confidential and users to be clearly known. Building on the proposed definition, we derive new guidelines for selecting the proper distributed ledger technology depending on application requirements and trust models, identifying common pitfalls leading to improper applications of the blockchain. We finally indicate a feasible role of the blockchain for the IoT: myriads of local, IoT transactions can be aggregated off-chain and then be successfully recorded on an external blockchain as a means of public accountability when required.

show abstract

VehicleChain: Blockchain-based Vehicular Data Transmission Scheme for Smart City

Cited by 18 publications

References 11 publications

On trust management in vehicular ad hoc networks: A comprehensive review

On trust management in vehicular ad hoc networks: A comprehensive review

UAV-Assisted Privacy-Preserving Online Computation Offloading for Internet of Things

What is a Blockchain? A Definition to Clarify the Role of the Blockchain in the Internet of Things

Contact Info

Product

Resources

About