Effective Consensus-Based Distributed Auction Scheme for Secure Data Sharing in Internet of Things

Jia, Xuedan; Song, Xiangmei; Sohail, Muhammad

doi:10.3390/sym14081664

Cited by 5 publications

(5 citation statements)

References 41 publications

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“…The blockchain is represented as an append-only ledger L that is managed by a global ideal functionality F L (same as [37]). Blockchain nodes are honest but curious [16]. They perform according to the blockchain rules and try to infer others' private information.…”

Section: Threat Model and Design Goalsmentioning

confidence: 99%

“…Only when both the buyer and seller reach a consensus on the revocation, is it taken as legal; otherwise, the misbehaved user will lose all the deposit. What is more, participation fairness can also be guaranteed for all users during the off-chain scheduling according to [16], which is not the focus of this paper and we do not extend it.…”

Section: Threat Model and Design Goalsmentioning

confidence: 99%

“…Blockchain, as an immutable distributed ledger, can facilitate security and transparency in a decentralized and trustless pattern among various entities. It has been adopted in various scenarios, such as charging scheduling [15], data sharing [16,17], and task offloading [18]. The peer-to-peer model of blockchain technology perfectly adapts to UGV-assisted UAV networks.…”

Section: Introductionmentioning

confidence: 99%

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Privacy-Preserving Attestation Scheme for Revocable UAV Charging Using Hybrid State Channels

Jia,

Song,

2023

Electronics

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Although widely applied in varied scenarios, unmanned aerial vehicles (UAVs) suffer severe flight time and flight range limitations due to constrained onboard battery capacity, causing frequent battery recharging when performing persistent missions. The wireless power transfer technology is a promising solution for UAV charging by utilizing unmanned ground vehicles (UGVs) equipped with wireless charging facilities, where charging time slots are auctioned and assigned to UAVs. However, UGVs themselves also have limited energy capacity, resulting in the need to revoke a UAV charging transaction after auction to satisfy their own demand if necessary. In addition, as UAVs and UGVs are mutually distrustful, inherent security and privacy concerns must be resolved during the revocation. In this paper, we resort to blockchain technology for secure and efficient revocable charging in vehicle-assisted wireless UAV networks. We present PAS, an efficient privacy-preserving attestation scheme for revocable UAV charging based on hybrid state channels, where UAVs and UGVs perform off-chain operations as blockchain users for privacy and efficiency, while security and fairness are guaranteed by the on-chain mechanism. PAS consists of a multi-party state channel and multiple two-party state channels responsible for charging scheduling and transaction revocation, respectively. PAS ensures fair and private revocation negotiation and compensation in a trust-free manner by developing a set of carefully designed modular protocols. We provide PAS’ constituent primitives in detail, prove its security properties following the universally composable (UC) framework, and present experimental results to demonstrate its feasibility and scalability.

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Section: Threat Model and Design Goalsmentioning

confidence: 99%

Section: Threat Model and Design Goalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Privacy-Preserving Attestation Scheme for Revocable UAV Charging Using Hybrid State Channels

Jia,

Song,

2023

Electronics

Self Cite

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“…In the era of big data, a large number of personal information data are generated every day, such as social information [1], physiological signals collected by intelligent wearable devices [2], and data auctions in the internet of things [3]. Information digitization technology enables various institutions to easily collect a large amount of information and data, publish statistical results in various forms, and conduct data analysis and research.…”

Section: Introductionmentioning

confidence: 99%

A Symmetry Histogram Publishing Method Based on Differential Privacy

Tao

Huang

et al. 2023

Symmetry

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The differential privacy histogram publishing method based on grouping cannot balance the grouping reconstruction error and Laplace noise error, resulting in insufficient histogram publishing accuracy. To address this problem, we propose a symmetric histogram publishing method DPHR (differential privacy histogram released). Firstly, the algorithm uses the exponential mechanism to sort the counting of the original histogram bucket globally to improve the grouping accuracy; secondly, we propose an optimal dynamic symmetric programming grouping algorithm based on the global minimum error, which uses the global minimum error as the error evaluation function based on the ordered histogram. This way, we can achieve a global grouping of the optimal error balance while balancing the reconstruction and Laplace errors. Experiments show that this method effectively reduces the cumulative error between the published histogram and the original histogram under long-range counting queries based on satisfying ε-differential privacy and improves the usability of the published histogram data.

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“…Vehicles share pictures, videos, and control signaling collected by themselves, such as road traffic data, vehicle location data, driving habits data, and vehicle-to-vehicle interaction data [2], so that vehicles can grasp the surrounding environment information more quickly, to comprehensively consider and judge their own driving state. In order to better realize information sharing and interaction between vehicles, collaborative vehicle networking emerged [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

AI-Enabled Consensus Algorithm in Human-Centric Collaborative Computing for Internet of Vehicle

Sun

Wang

et al. 2023

Symmetry

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With the enhanced interoperability of information among vehicles, the demand for collaborative sharing among vehicles increases. Based on blockchain, the classical consensus algorithms in collaborative IoV (Internet of Vehicle), such as PoW (Proof of Work), PoS (Proof of Stake), and DPoS (Delegated Proof of Stake), only consider the node features, which is hard to adapt to the immediacy and flexibility of vehicles. On the other hand, classical consensus algorithms often require mass computing, which undoubtedly increases the communication overhead, resulting in the inability to achieve collaborative IoV under asymmetric networks. Therefore, proposing a low failure rate consensus algorithm that takes into account running time and energy consumption becomes a major challenge in IoV applications. This paper proposes an AI-enabled consensus algorithm with vehicle features, combining vehicle-based metrics and neural networks. First, we introduce vehicle-based metrics such as vehicle online time, performance, and behavior. Then, we propose an integral model and a hierarchical classification method, which combine with a BP neural network to obtain the optimal solution for interconnection. Among them, we also use Informer to predict the future online duration of vehicles, which effectively solves the situation that the primary node vehicle drops off in collaborative IoV. Finally, the experimentations show that the vehicle-based metrics eliminate the problem of the primary node vehicle being offline, which realizes the collaborative IoV considering vehicle features. Meanwhile, it reduces the vehicle network system delay and energy consumption.

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Effective Consensus-Based Distributed Auction Scheme for Secure Data Sharing in Internet of Things

Cited by 5 publications

References 41 publications

Privacy-Preserving Attestation Scheme for Revocable UAV Charging Using Hybrid State Channels

Privacy-Preserving Attestation Scheme for Revocable UAV Charging Using Hybrid State Channels

A Symmetry Histogram Publishing Method Based on Differential Privacy

AI-Enabled Consensus Algorithm in Human-Centric Collaborative Computing for Internet of Vehicle

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