Privacy Preserving and Cost Optimal Mobile Crowdsensing Using Smart Contracts on Blockchain

Chatzopoulos, Dimitris; Gujar, Sujit; Faltings, Boi; Hui, Pan

doi:10.1109/mass.2018.00068

Cited by 59 publications

(24 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This non-tamperable characteristic has great significance in the fields of smart cities, intelligent transportation, Internet of Things, finance, finance, trade, trade, credit, etc. It marks the beginning of a truly trustworthy Internet [ 17 ].…”

Section: Blockchain-based Incentive Framework In Crowd Sensing Netmentioning

confidence: 99%

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

Jia

Zhou

et al. 2018

Sensors

113

View full text Add to dashboard Cite

Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness tasks but also provide users for types, social attributes, and other information for the cloud platform. In order to improve the effectiveness of crowd sensing, many incentive mechanisms have been proposed. Common incentives are monetary reward, entertainment & gamification, social relation, and virtual credit. However, there are rare incentives based on privacy protection basically. In this paper, we proposed a mixed incentive mechanism which combined privacy protection and virtual credit called a blockchain-based location privacy protection incentive mechanism in crowd sensing networks. Its network structure can be divided into three parts which are intelligence crowd sensing networks, confusion mechanism, and blockchain. We conducted the experiments in the campus environment and the results shows that the incentive mechanism proposed in this paper has the efficacious effect in stimulating user participation.

show abstract

Section: Blockchain-based Incentive Framework In Crowd Sensing Netmentioning

confidence: 99%

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

Jia

Zhou

et al. 2018

Sensors

113

View full text Add to dashboard Cite

show abstract

“…Related works attempted to provide secure incentive mechanism of MCS aided by blockchain. Chatzopoulos et al [29] proposed a truthful, cost-optimal auction that minimises the payments from the crowdsensing providers to mobile users based on a blockchain-aided mobile crowdsensing architecture. With the help of four smart contracts, it deployed a novel incentive mechanism in the blockchain.…”

Section: Related Workmentioning

confidence: 99%

A Blockchain-Based Reward Mechanism for Mobile Crowdsensing

Yang

Wang

et al. 2020

IEEE Trans. Comput. Soc. Syst.

View full text Add to dashboard Cite

Mobile CrowdSensing (MCS) is a novel sensing scenario of Cyber-Physical-Social Systems. MCS has been widely adopted in smart cities, personal health care, and environment monitor areas. MCS applications recruit participants to obtain sensory data from the target area by allocating reward to them. Reward mechanisms are crucial in stimulating participants to join and provide sensory data. However, while the MCS applications execute the reward mechanisms, sensory data and personal private information can be in great danger, because of malicious task initiators/participants and hackers. This work proposes a novel blockchain-based MCS framework that preserves privacy and which secures both the sensing process and the incentive mechanism by leveraging the emergent blockchain technology. Moreover, to provide a fair incentive mechanism, this paper has considered an MCS scenario as a sensory data market, where the market separates the participants into two categories: monthlypay participants and instant-pay participants. By analysing two different kinds of participants and the task initiator, this paper proposes an incentive mechanism aided by a three-stage Stackelberg game. Through theoretical analysis and simulation, the evaluation addresses two aspects: the reward mechanism and the performance of the blockchain-based MCS. The proposed reward mechanism achieves up to a ten percent improvement of the task initiator's utility compared with a traditional Stackelberg game. It can also maintain the required market share for monthly-pay participants whilst achieving sustainable sensory data provision. The evaluation of the blockchain-based MCS shows that the latency increases in a tolerable manner as the number of participants grows. Finally, the paper discusses the future challenges of blockchain-based MCS. Index Terms-Mobile crowdsensing, blockchain, reward mechanism, Stackelberg game, sensory data market I. INTRODUCTION T HE development of network technology, sensing devices, and social networks has increased the deployment of the next generation of Internet of Things (IoT)-Mobile CrowdSensing (MCS). MCS is a novel sensing framework, which is assisted by smartphone sensors and with the inclusion of human intelligence in the loop. MCS has become a typical application in Cyber-Physical-Social Systems (CPSS) [1], [2] because it adopts the multidisciplinary approach where knowledge from communication, computer science, computer network, economic, psychology, and social research unite to provide a solution of a sensing task.

show abstract

“…Auctions were introduce to blockchain on two frontiers: 1) Blockchain resource management [6], [7] and 2) Blockchain-based applications such as finance [8]- [11], and crowdsensing [12]. These applications were proposed to address the management and trust challenges in centralized auctions.…”

Section: B Blockchain and Auctionsmentioning

confidence: 99%

“…In [12], a combinatorial Bayesian incentive compatible auction mechanism is proposed for crowdsensing on top of blockchain. The auction is used to minimize the payment of requesters while guaranteeing a minimum completion probability for tasks.…”

Section: B Blockchain and Auctionsmentioning

confidence: 99%

See 1 more Smart Citation

ABCrowd An Auction Mechanism on Blockchain for Spatial Crowdsourcing

et al. 2020

View full text Add to dashboard Cite

In this paper, a fully distributed auction-blockchain-based crowdsourcing framework is proposed-ABCrowd. In a typical crowdsourcing framework, independent workers compete to be allocated requesters' tasks. These workers advertise their costs to the centralized platform, which then decides the final allocation of tasks. While performing the allocation, centralized platforms face two main challenges: 1) how to ensure trusted execution for the allocation of tasks, and 2) how to motivate workers to declare their truthful costs. To address these challenges, ABCrowd proposes to run the crowdsourcing platform entirely on Ethereum Blockchain while incorporating auctions. Blockchain and smart contracts guarantee trusted execution for the allocation through autonomous and transparent on-Chain execution. ABCrowd uses the Repeated-Single-Minded Bidder (R-SMB) auction mechanism, which motivates workers to bid truthfully before allocating them and calculating their payments. R-SMB is an approximation of the optimized off-Chain Vickrey-Clarke-Groves (VCG) mechanism in terms of maximized profit. It entails repeating the Single-Minded Bidder (SMB) auction mechanism to meet the allocation requirement of crowdsourcing applications. ABCrowd is implemented and evaluated using Solidity on a private Ethereum Blockchain, where a real publicly available dataset is used. The proposed on-Chain R-SMB auction mechanism is compared to the off-Chain VCG mechanism, where the results show that R-SMB provides similar performance to VCG in terms of the average number of allocated tasks. Furthermore, R-SMB outperforms VCG in workers' travelled distance and requesters' costs, at a low execution cost. INDEX TERMS Crowdsourcing, blockchain, smart contracts, auction.

show abstract

Privacy Preserving and Cost Optimal Mobile Crowdsensing Using Smart Contracts on Blockchain

Cited by 59 publications

References 35 publications

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

A Blockchain-Based Reward Mechanism for Mobile Crowdsensing

ABCrowd An Auction Mechanism on Blockchain for Spatial Crowdsourcing

Contact Info

Product

Resources

About