Blockchain Marketing Label Trading System for E-Commerce Alliance

Dai Weiqi; Li Ming; Zhao Kexuan; Jiang Wenchao; Zhou Weilin; Zou Deqing; Jin Hai

doi:10.7544/issn1000-1239.202330217

Journal of Computer Research and Development > 2025 > 62(1): 269-280. > DOI: 10.7544/issn1000-1239.202330217 CSTR: 32373.14.issn1000-1239.202330217

Dai Weiqi, Li Ming, Zhao Kexuan, Jiang Wenchao, Zhou Weilin, Zou Deqing, Jin Hai. Blockchain Marketing Label Trading System for E-Commerce Alliance[J]. Journal of Computer Research and Development, 2025, 62(1): 269-280. DOI: 10.7544/issn1000-1239.202330217

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Blockchain Marketing Label Trading System for E-Commerce Alliance

Dai Weiqi^{1, 2, 3, 4, 5,},
Li Ming^{1, 2, 3, 4, 5},
Zhao Kexuan^{3, 4, 5},
Jiang Wenchao⁸,
Zhou Weilin⁹,
Zou Deqing^{1, 2, 3, 4, 5, ,},
Jin Hai^{1, 2, 6, 7}

1.
National Engineering Research Center for Big Data Technology and System (Huazhong University of Science and Technology), Wuhan 430074
2.
Services Computing Technology and System Lab (Huazhong University of Science and Technology), Wuhan 430074
3.
Hubei Key Laboratory of Distributed System Security (Huazhong University of Science and Technology), Wuhan 430074
4.
Hubei Engineering Research Center on Big Data Security (Huazhong University of Science and Technology), Wuhan 430074
5.
School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074
6.
Cluster and Grid Computing Lab (Huazhong University of Science and Technology ), Wuhan 430074
7.
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074
8.
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006
9.
Global Digital Cyber Security Authority Co., Ltd., Foshan, Guangdong 510100

Funds: This work was supported by the National Key Research and Development Program of China (2019YFB2101700) and the National Natural Science Foundation of China (62072202).

More Information

Author Bio:
Dai Weiqi: born in 1984. PhD, associate professor. Member of CCF. His main research interests include blockchain security, privacy computing, and cloud security

Li Ming: born in 1997. Master. His main research interests include blockchain security and trusted computing

Zhao Kexuan: born in 2001. PhD candidate. His main research interests include blockchain and privacy computing

Jiang Wenchao: born in 1977. PhD, associate professor. Member of CCF. His main research interests include cloud computing, big data, knowledge mapping, and industrial artificial intelligence

Zhou Weilin: born in 1978. Master, senior engineer. His main research interests include electronic authentication, information security, and distributed databases

Zou Deqing: born in 1975. PhD, professor. Member of CCF. His main research interests include big data security and AI security, cloud computing security, software definition security and active defense, and software vulnerability detection and network attack and defense

Jin Hai: born in 1966. PhD, professor. Fellow of CCF. His main research interests include computer architecture, parallel and distributed processing, and cloud computing and big data
Received Date: March 30, 2023
Revised Date: December 10, 2023
Available Online: May 28, 2024

Graphical Abstract

Abstract

Abstract

In the era of big data e-commerce, data trading can enable collaborative sharing and value utilization of isolated data resources. As the main form of data trading in e-commerce business, marketing tags have enormous potential value. However, the traditional data trading market faces three main problems: 1) The opaque information of the centralized platform leads to trust crisis and malicious bidding ranking; 2) Lack of reasonable incentive mechanism to break the data island leads to data non-circulation and sharing difficulties; 3) Data security threats lead to privacy disclosure and data reselling and theft. In order to solve these problems, a blockchain marketing label trading mechanism for e-commerce alliance is designed, and the upper consensus incentive mechanism is designed based on decentralization, and all data transactions and computing businesses of the system are completed in combination with the trusted execution environment, thus realizing a safe and complete data transaction ecosystem. The authenticity verification mechanism is designed to ensure the effectiveness of marketing labels, the consensus incentive mechanism is designed to enable users to actively share data, and the smart contract is used to effectively constrain the role behavior according to the system design specification; Then key transmission and data security storage are realized through SGX remote authentication, and smart contract security call is realized to ensure user privacy and data security; Finally, the reliable delivery of data transaction results is realized through the trusted computer system and system design idea. In order to verify the security and practicability of the system, 350000 pieces of real data provided by an e-commerce company are used for performance testing. The test results show that the system can guarantee the security and performance requirements at the same time, and its additional costs mainly come from the remote authentication module and are within the acceptable range.
- blockchain,
- data transaction,
- e-commerce alliance,
- trusted execution environment,
- consensus mechanism

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References (24)

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