Poster: Smart-Contract Based Incentive Mechanism for K-Anonymity Privacy Protection in LBSs

2017 ◽  
Author(s):  
Ziye Geng ◽  
Yunhua He ◽  
Tong Niu ◽  
Hong Li ◽  
Limin Sun ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Incentive Mechanism ◽  
Smart Contract

scholarly journals Research on Blockchain-Based E-Bidding System

2021 ◽  
Vol 11 (9) ◽  
pp. 4011
Author(s):  
Dan Wang ◽  
Jindong Zhao ◽  
Chunxiao Mu
Keyword(s):  
Data Transmission ◽  
Privacy Protection ◽  
Graph Isomorphism ◽  
Third Party ◽  
Business Logic ◽  
Core Concept ◽  
The Core ◽  
Blockchain Technology ◽  
Smart Contract ◽  
Bidding Process

In the field of modern bidding, electronic bidding leads a new trend of development, convenience and efficiency and other significant advantages effectively promote the reform and innovation of China’s bidding field. Nowadays, most systems require a strong and trusted third party to guarantee the integrity and security of the system. However, with the development of blockchain technology and the rise of privacy protection, researchers has begun to emphasize the core concept of decentralization. This paper introduces a decentralized electronic bidding system based on blockchain and smart contract. The system uses blockchain to replace the traditional database and uses chaincode to process business logic. In data interaction, encryption techniques such as zero-knowledge proof based on graph isomorphism are used to improve privacy protection, which improves the anonymity of participants, the privacy of data transmission, and the traceability and verifiable of data. Compared with other electronic bidding systems, this system is more secure and efficient, and has the nature of anonymous operation, which fully protects the privacy information in the bidding process.

A user collaboration privacy protection scheme with threshold scheme and smart contract

2021 ◽  
Vol 560 ◽  
pp. 183-201
Author(s):  
Lei Zhang ◽  
Desheng Liu ◽  
Meina Chen ◽  
Hongyan Li ◽  
Chao Wang ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Threshold Scheme ◽  
Protection Scheme ◽  
Smart Contract ◽  
User Collaboration

scholarly journals DMC: Decentralized Mixer with Channel for Transaction Privacy Protection on Ethereum

2021 ◽  
Author(s):  
Su Liu ◽  
Jian Wang
Keyword(s):  
Transaction Cost ◽  
Privacy Protection ◽  
Batch Processing ◽  
Experimental Results ◽  
Smart Contract ◽  
Mixing Schemes ◽  
High Transaction Cost ◽  
Privacy Issues

Ethereum is a public blockchain platform with smart contract. However, it has transaction privacy issues due to the openness of the underlying ledger. Decentralized mixing schemes are presented to hide transaction relationship and transferred amount, but suffer from high transaction cost and long transaction latency. To overcome the two challenges, we propose the idea of batch accounting, adopting batch processing at the time of accounting. For further realization, we introduce payment channel technology into decentralized mixer. Since intermediate transactions between two parties do not need network consensus, our scheme can reduce both transaction cost and transaction latency. Moreover, we provide informal definitions and proofs of our scheme's security. Finally, our scheme is implemented based on zk-SNARKs and Ganache, and experimental results show that the higher number of transactions in batch, the better our scheme performs.

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

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3894 ◽  
Author(s):  
Bing Jia ◽  
Tao Zhou ◽  
Wuyungerile Li ◽  
Zhenchang Liu ◽  
Jiantao Zhang
Keyword(s):  
Cloud Computing ◽  
Privacy Protection ◽  
Large Scale ◽  
Location Privacy ◽  
Incentive Mechanism ◽  
User Participation ◽  
Crowd Sensing ◽  
The Incentive Mechanism ◽  
Crowd Sensing Networks ◽  
Location Privacy Protection

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.

An incentive mechanism with privacy protection in mobile crowdsourcing systems

2016 ◽  
Vol 102 ◽  
pp. 157-171 ◽  
Author(s):  
Yingjie Wang ◽  
Zhipeng Cai ◽  
Guisheng Yin ◽  
Yang Gao ◽  
Xiangrong Tong ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Incentive Mechanism ◽  
Mobile Crowdsourcing

scholarly journals Smart Contract Privacy Protection Using AI in Cyber-Physical Systems: Tools, Techniques and Challenges

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 24746-24772 ◽  
Author(s):  
Rajesh Gupta ◽  
Sudeep Tanwar ◽  
Fadi Al-Turjman ◽  
Prit Italiya ◽  
Ali Nauman ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Smart Contract

Know Your Customer (KYC) Implementation with Smart Contracts on a Privacy-Oriented Decentralized Architecture

2020 ◽  
Vol 12 (2) ◽  
pp. 41
Author(s):  
Nikolaos Kapsoulis ◽  
Alexandros Psychas ◽  
Georgios Palaiokrassas ◽  
Achilleas Marinakis ◽  
Antonios Litke ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Smart Contracts ◽  
Expiration Date ◽  
User Privacy ◽  
Time Efficiency ◽  
Critical Part ◽  
The Public ◽  
Blockchain Technology ◽  
Smart Contract ◽  
Decentralized Architecture

Enterprise blockchain solutions attempt to solve the crucial matter of user privacy, albeit that blockchain was initially directed towards full transparency. In the context of Know Your Customer (KYC) standardization, a decentralized schema that enables user privacy protection on enterprise blockchains is proposed with two types of developed smart contracts. Through the public KYC smart contract, a user registers and uploads their KYC information to the exploited IPFS storage, actions interpreted in blockchain transactions on the permissioned blockchain of Alastria Network. Furthermore, through the public KYC smart contract, an admin user approves or rejects the validity and expiration date of the initial user’s KYC documents. Inside the private KYC smart contract, CRUD (Create, read, update and delete) operations for the KYC file repository occur. The presented system introduces effectiveness and time efficiency of operations through its schema simplicity and smart integration of the different technology modules and components. This developed scheme focuses on blockchain technology as the most important and critical part of the architecture and tends to accomplish an optimal schema clarity.

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