[논문]Deposit Decision Model for Data Brokers in Distributed Personal Data Markets Using Blockchain

Oh, Hyeontaek; Park, Sangdon; Choi, Jun Kyun; Noh, Sungkee

doi:10.1109/access.2021.3104870

[해외논문] Deposit Decision Model for Data Brokers in Distributed Personal Data Markets Using Blockchain 원문보기

IEEE access : practical research, open solutions, v.9, 2021년, pp.114715 - 114726

Oh, Hyeontaek (Institute for Information Technology Convergence, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea) , Park, Sangdon (Korea Advanced Institute of Science and Technology, School of Electrical Engineering, Daejeon, Republic of Korea) , Choi, Jun Kyun (Korea Advanced Institute of Science and Technology, School of Electrical Engineering, Daejeon, Republic of Korea) , Noh, Sungkee (Electronics and Telecommunications Research Institute, Blockchain Research Section, Daejeon, Republic of Korea)

Abstract ▼ AI-Helper

Since personal data becomes a valuable asset for IT industries, the necessity of data ecosystems with personal data trading methodologies is continuously increased, and the concept of data brokers is now widely used in the market. Moreover, utilizing the advantages of blockchain, distributed personal data markets have recently been considered because all participants behave selfishly for their profits in the markets. Since the participants may behave maliciously, it is necessary to prevent such behavior, and one of the considered approaches is putting additional deposits as a penalty into blockchain smart contracts. Since data brokers give various advantages to maintain personal data trading markets, many studies have considered both data brokers and blockchain at the same time. However, those studies have mainly focused on putting deposits into data buyers/sellers but not data brokers. However, since data brokers are also major players in the market, it is necessary to consider deposit decision models for data brokers. Hence, this paper proposes a deposit decision model for data brokers in distributed personal data markets using blockchain. Particularly, this paper proposes a profit model with deposits depending on their behavior for handling contracts and a credit level model that puts fewer deposits for a data broker with a higher credit level to motivate the data brokers’ truthful behavior. With the analysis of the proposed models, this paper shows that the models are feasible to motivate data brokers’ truthful behavior by allocating deposits for not only a large enough penalty but also a fair enough incentive.

참고문헌 (30)

10.1145/3319535.3354221
Oh, Hyeontaek, Park, Sangdon, Lee, Gyu Myoung, Heo, Hwanjo, Choi, Jun Kyun. Personal Data Trading Scheme for Data Brokers in IoT Data Marketplaces. IEEE access : practical research, open solutions, vol.7, 40120-40132.

상세보기
Curry, Edward, Derguech, Wassim, Hasan, Souleiman, Kouroupetroglou, Christos, ul Hassan, Umair. A Real-time Linked Dataspace for the Internet of Things: Enabling “Pay-As-You-Go” Data Management in Smart Environments. Future generation computer systems : FGCS, vol.90, 405-422.

상세보기
Oh, Hyeontaek, Park, Sangdon, Lee, Gyu Myoung, Choi, Jun Kyun, Noh, Sungkee. Competitive Data Trading Model With Privacy Valuation for Multiple Stakeholders in IoT Data Markets. IEEE Internet of things journal : a joint publication of the IEEE Sensors Council, the IEEE Communications Society, the IEEE Computer Society, the IEEE Signal Processing Society, vol.7, no.4, 3623-3639.

상세보기
Zhao, Yanqi, Yu, Yong, Li, Yannan, Han, Gang, Du, Xiaojiang. Machine learning based privacy-preserving fair data trading in big data market. Information sciences, vol.478, 449-460.

상세보기
10.1109/INFOCOMWKSHPS50562.2020.9162759
Dai, Weiqi, Dai, Chunkai, Choo, Kim-Kwang Raymond, Cui, Changze, Zou, Deiqing, Jin, Hai. SDTE: A Secure Blockchain-Based Data Trading Ecosystem. IEEE transactions on information forensics and security, vol.15, 725-737.

상세보기
de la Vega, Francisco, Soriano, Javier, Jimenez, Miguel, Lizcano, David. A Peer‐to‐Peer Architecture for Distributed Data Monetization in Fog Computing Scenarios. Wireless communications & mobile computing, vol.2018, 5758741-.

상세보기
10.1109/SDS.2019.8768612
Xiong, Wei, Xiong, Li. Smart Contract Based Data Trading Mode Using Blockchain and Machine Learning. IEEE access : practical research, open solutions, vol.7, 102331-102344.

상세보기
Chen, Chuan, Wu, Jiajing, Lin, Hui, Chen, Wuhui, Zheng, Zibin. A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles. IEEE transactions on vehicular technology, vol.68, no.9, 9110-9121.

상세보기
Malgieri, Gianclaudio, Custers, Bart. Pricing privacy – the right to know the value of your personal data. Computer law & security review : the international journal of technology law and practice, vol.34, no.2, 289-303.

상세보기
Data Brokers in an Open Society rieke 2016
Sollins, Karen R.. IoT Big Data Security and Privacy Versus Innovation. IEEE Internet of things journal : a joint publication of the IEEE Sensors Council, the IEEE Communications Society, the IEEE Computer Society, the IEEE Signal Processing Society, vol.6, no.2, 1628-1635.

상세보기
Data Brokers A Call for Transparency and Accountability ramirez 2014
Liang, Fan, Yu, Wei, An, Dou, Yang, Qingyu, Fu, Xinwen, Zhao, Wei. A Survey on Big Data Market: Pricing, Trading and Protection. IEEE access : practical research, open solutions, vol.6, 15132-15154.

상세보기
Li, X.B., Raghunathan, S.. Pricing and disseminating customer data with privacy awareness. Decision support systems, vol.59, 63-73.

상세보기
10.1007/978-3-319-21569-3
Cho, Jin-Hee, Chan, Kevin, Adali, Sibel. A Survey on Trust Modeling. ACM computing surveys, vol.48, no.2, 1-40.

상세보기
Josang, A., Ismail, R., Boyd, C.. A survey of trust and reputation systems for online service provision. Decision support systems, vol.43, no.2, 618-644.

상세보기
Big Data and Business Analytics Market Size is Projected to Reach USD 512 04 Billion by 2026 2020
Jang, Busik, Park, Sangdon, Lee, Joohyung, Hahn, Sang-Geun. Three Hierarchical Levels of Big-Data Market Model Over Multiple Data Sources for Internet of Things. IEEE access : practical research, open solutions, vol.6, 31269-31280.

상세보기
Digital Economy Report 2019 Value Creation and capture implications for developing countries 2019
Liu, Kang, Qiu, Xiaoyu, Chen, Wuhui, Chen, Xu, Zheng, Zibin. Optimal Pricing Mechanism for Data Market in Blockchain-Enhanced Internet of Things. IEEE Internet of things journal : a joint publication of the IEEE Sensors Council, the IEEE Communications Society, the IEEE Computer Society, the IEEE Signal Processing Society, vol.6, no.6, 9748-9761.

상세보기
Xie, Junfeng, Tang, Helen, Huang, Tao, Yu, F. Richard, Xie, Renchao, Liu, Jiang, Liu, Yunjie. A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges. IEEE Communications surveys and tutorials, vol.21, no.3, 2794-2830.

상세보기
10.1007/978-3-030-18576-3_18
Ocean Protocol Tools for the Web3 Data Economy 2020
Proc 28th USENIX Secur Symp (USENIX Security) FastKitten: Practical smart contracts on bitcoin das 2019 801
Oh, Junhyoung, Hong, Jinhyoung, Lee, Changsoo, Lee, Jemin Justin, Woo, Simon S., Lee, Kyungho. Will EU’s GDPR Act as an Effective Enforcer to Gain Consent?. IEEE access : practical research, open solutions, vol.9, 79477-79490.

상세보기
Li, Yan, Li, Lingyan, Zhao, Yanqi, Guizani, Nadra, Yu, Yong, Du, Xiaojiang. Toward Decentralized Fair Data Trading Based on Blockchain. IEEE network, vol.35, no.1, 304-310.

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DOI : 10.1109/ACCESS.2021.3104870 [무료]
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