An Architecture of Cloud-Assisted Information Dissemination in Vehicular Networks

Yang, Qing; Zhu, Binghai; Wu, Shaoen

doi:10.1109/access.2016.2572206

Cited by 52 publications

(23 citation statements)

References 29 publications

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“…The (25) indicates that with the IC condition, when the IR constraint of type-1 verifier is satisfied, the other IR constraints will also hold. Therefore, the other IR constraints can be bound into the IR condition of type-1 verifier [30].…”

Section: Utility Of Block Verifiersmentioning

confidence: 99%

Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

Kang

Xiong

Niyato

et al. 2019

IEEE Trans. Veh. Technol.

501

246

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In the Internet of Vehicles (IoV), data sharing among vehicles is critical to improve driving safety and enhance vehicular services. To ensure security and traceability of data sharing, existing studies utilize consensus schemes as hard security solutions to establish blockchain-enabled IoV (BIoV). However, as miners are selected from miner candidates by stake-based voting, defending against voting collusion between the candidates and compromised high-stake vehicles becomes challenging. To address the challenge, in this paper, we propose a two-stage soft security enhancement solution: (i) miner selection and (ii) block verification. In the first stage, we design a reputation-based voting scheme to ensure secure miner selection. This scheme evaluates candidates' reputation using both historical interactions and recommended opinions from other vehicles. The candidates with high reputation are selected to be active miners and standby miners. In the second stage, to prevent internal collusion among active miners, a newly generated block is further verified and audited by standby miners. To incentivize the participation of the standby miners in block verification, we adopt the contract theory to model the interactions between active miners and standby miners, where block verification security and delay are taken into consideration. Numerical results based on a real-world dataset confirm the security and efficiency of our schemes for data sharing in BIoV.Index Terms-Internet of Vehicles, blockchain, reputation management, delegated proof-of-stake, contract theory, security Internet of Vehicles Active minerA malicious active miner RSU RSU Wireless communication Current block manager Standby miner Block verification Miner voting collusion Compromised vehicle Miner voting collusionBlock verification

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Section: Utility Of Block Verifiersmentioning

confidence: 99%

Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

Kang

Xiong

Niyato

et al. 2019

IEEE Trans. Veh. Technol.

501

246

View full text Add to dashboard Cite

show abstract

“…In [4], a new facility known as "spectrum sensing as a service" is deliberated, which presents a supportive spectrum detection in CRVANETs over distributed centered storage, cloud which protects the spectrum detection. An epic cloud-based design for intelligent data distribution in a vehicular system is discussed where virtual social associations [11] between vehicles are made and kept up on the cloud to take care of the issue which data is shared to which vehicle.…”

Section: Literature Reviewmentioning

confidence: 99%

Securing Cognitive Radio Vehicular Ad Hoc Network with Fog Node based Distributed Blockchain Cloud Architecture

Nadeem¹,

Rizwan²,

Ahmad³

et al. 2019

ijacsa

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Cognitive radio, ad hoc networks' applications are continuously increasing in wireless communication globally. In vehicles' environment, cognitive radio technology with mobile ad hoc networks (MANETs) enables vehicles to monitor the available channels and to effectively function in these frequencies through sharing ongoing information with drivers and different frameworks to enhance traffic safety on roads. To fulfill the computational storage resources' limitations of a specific vehicle, Vehicular Cloud Computing (VCC) is used by merging VANET with cloud computing. Cloud computing requires high security and protection because authenticate users and attackers have the same rights in VCC. The security is enhanced in CRVANETs, but the distributed nature of cloud unlocks a door for dissimilar attacks, such as trust modal, data security, connection fault and query tracking attacks. This paper proposes an effective and secured blockchain scheme-based distributed cloud architecture in place of conventional cloud architecture to secure the drivers' privacy with low cost and on-demand sensing procedure in CRVANETs ecosystem.

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“…Particularly, social trust among users has been widely studied [18,[21][22][23] and considered an important parameter in recommender systems. In fact, trust-aware recommendation was applied in vehicular networks to intelligently recommend information to vehicles [33,[42][43][44].…”

Section: 25mentioning

confidence: 99%

Exploring timeliness for accurate recommendation in location-based social networks

Xu¹,

Yang²,

Chu³

2018

Mathematical Foundations of Computing

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An individual's location history in the real world implies his or her interests and behaviors. This paper analyzes and understands the process of Collaborative Filtering (CF) approach, which mines an individual's preference from his/her geographic location histories and recommends locations based on the similarities between the user and others. We find that a CF-based recommendation process can be summarized as a sequence of multiplications between a transition matrix and visited-location matrix. The transition matrix is usually approximated by the user's interest matrix that reflect the similarity among users, regarding to their interest in visiting different locations. The visited-location matrix provides the history of visited locations of all users, which is currently available to the recommendation system. We find that recommendation results will converge if and only if the transition matrix remains unchanged; otherwise, the recommendations will be valid for only a certain period of time. Based on our analysis, a novel location-based accurate recommendation (LAR) method is proposed, which considers the semantic meaning and category information of locations, as well as the timeliness of recommending results, to make accurate recommendations. We evaluated the precision and recall rates of LAR, using a large-scale real-world data set collected from Brightkite. Evaluation results confirm that LAR offers more accurate recommendations, comparing to the state-of-art approaches.

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An Architecture of Cloud-Assisted Information Dissemination in Vehicular Networks

Cited by 52 publications

References 29 publications

Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

Securing Cognitive Radio Vehicular Ad Hoc Network with Fog Node based Distributed Blockchain Cloud Architecture

Exploring timeliness for accurate recommendation in location-based social networks

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