Blockchain-based E-commerce Transaction Verification Mechanism Design and Performance Evaluation

被引:0
|
作者
Ma J. [1 ]
机构
[1] Anhui Water Conservancy Technical College, Anhui, Hefei
关键词
Blockchain technology; E-commerce transaction effectiveness; Electronic transaction protocol; Hash function;
D O I
10.2478/amns-2024-1714
中图分类号
学科分类号
摘要
With the development of blockchain technology and the increased demand for its application in e-commerce. However, the encryption algorithm of traditional blockchain technology poses a risk to data security protection. Therefore, this paper builds secure cryptographic protection by means of secondary encryption and interactive verification of the interaction process of e-commerce transaction data through a hash function. Then, for the transaction process of e-commerce, an electronic transaction protocol with privacy protection is proposed. The effectiveness of blockchain-based e-commerce transactions is analyzed according to correctness and security. The questionnaire of this study has good reliability based on the analysis of relevant data, where the overall reliability of all variables is 0.865. There is a positive correlation between the efficacy of e-commerce transactions and correctness, anonymity, resistance to simulation attacks, and accountability protocols at the 5% significance level. The correlation between traceability, non-repudiation, and resistance to replay attacks is not significant. E-commerce transaction effectiveness = 0.326∗ correctness + 0.455∗ anonymity + 0.354∗ traceability + 0.254∗ non-repudiation + 0.171∗ resistance to simulation attacks + 0.445∗ resistance to replay attacks + 0.552∗ accountability protocol. The accountability protocol factor has the greatest impact and contribution to the e-commerce transaction effectiveness of blockchain. © 2024 Jun Ma., published by Sciendo.
引用
收藏
相关论文
共 50 条
  • [31] Biometric authentication for E-commerce transaction
    Vangala, RR
    Sasi, S
    2004 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES (IST), 2004, : 113 - 116
  • [32] Research on E-Commerce Experiment Design Based on Transaction Mode with Scientific Teaching Materials
    Zhao, DanDan
    Li, XiZuo
    Xie, ChunLi
    Song, HaiYu
    ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT IV, 2011, 217 : 388 - +
  • [33] Blockchain-based fake news traceability and verification mechanism
    Wang, Xiaowan
    Xie, Huiyin
    Ji, Shan
    Liu, Liang
    Huang, Ding
    HELIYON, 2023, 9 (07)
  • [34] A Study on the Validity of Commodity Evaluation of E-commerce Platform Based on Dynamic Transaction Events
    Yan, Bingwen
    Wu, Chunqiong
    Yu, Rongrui
    2018 2ND AASRI INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISC 2018), 2019, 267
  • [35] ARS-Chain: A Blockchain-Based Anonymous Reputation-Sharing Framework for E-Commerce Platforms
    Chen, Yungui
    Feng, Li
    Zhao, Qinglin
    Tian, Liwei
    Yang, Lei
    MATHEMATICS, 2024, 12 (10)
  • [36] On the Design of Communication and Transaction Anonymity in Blockchain-Based Transactive Microgrids
    Bergquist, Jonatan
    Laszka, Aron
    Sturm, Monika
    Dubey, Abhishek
    SERIAL 2017: THE 1ST WORKSHOP ON SCALABLE AND RESILIENT INFRASTRUCTURES FOR DISTRIBUTED LEDGERS, 2017,
  • [37] Blockchain-Based Model Transaction Platform Design for BIM Trader
    Liu, Chang
    Tan, Zhuoyue
    Li, Lei
    Ni, Ting
    Wang, Xiaoguang
    PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT - VOL 1, 2022, 144 : 388 - 399
  • [38] E-COMMERCE TRANSACTION SECURITY MODEL BASED ON CLOUD COMPUTING
    Treesinthuros, Wasin
    2012 IEEE 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENT SYSTEMS (CCIS) VOLS 1-3, 2012, : 344 - 347
  • [39] Vulnerability Evaluation Method for E-Commerce Transaction Systems With Unobservable Transitions
    Wang, Mimi
    Ding, Zhijun
    Zhao, Peihai
    IEEE ACCESS, 2020, 8 : 101035 - 101048
  • [40] Design and Application of e-Commerce Platform System Based on Blockchain Technology on the Internet of Things
    Zhao, Bin
    Jiang, Xue
    Zhang, Na
    Guo, Qian
    Song, RongRong
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022