FRAUD RISK ASSESSMENT WITHIN BLOCKCHAIN TRANSACTIONS

被引:17
|
作者
Goffard, Pierre-O [1 ,2 ]
机构
[1] Univ Calif Santa Barbara, Santa Barbara, CA 93106 USA
[2] Univ Lyon 1, Inst Sci Financiere & Assurances, 50 Ave Tony Garnier, F-69007 Lyon, France
关键词
Bitcoin blockchain; double-spending problem; risk theory; order statistic point processes; renewal processes; boundary crossing problems; TIME RUIN PROBABILITIES; 1ST CROSSING TIME; WORKLOAD; MODELS;
D O I
10.1017/apr.2019.18
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The probability of successfully spending twice the same bitcoins is considered. A double-spending attack consists in issuing two transactions transferring the same bitcoins. The first transaction, from the fraudster to a merchant, is included in a block of the public chain. The second transaction, from the fraudster to himself, is recorded in a block that integrates a private chain, exact copy of the public chain up to substituting the fraudster-to-merchant transaction by the fraudster-to-fraudster transaction. The double-spending hack is completed once the private chain reaches the length of the public chain, in which case it replaces it. The growth of both chains are modelled by two independent counting processes. The probability distribution of the time at which the malicious chain catches up with the honest chain, or, equivalently, the time at which the two counting processes meet each other, is studied. The merchant is supposed to await the discovery of a given number of blocks after the one containing the transaction before delivering the goods. This grants a head start to the honest chain in the race against the dishonest chain.
引用
收藏
页码:443 / 467
页数:25
相关论文
共 50 条
  • [1] Fraud risk in electronic payment transactions
    Kovacs, Levente
    David, Sandor
    [J]. JOURNAL OF MONEY LAUNDERING CONTROL, 2016, 19 (02): : 148 - 157
  • [2] Credit Risk Assessment and Fraud Detection in Financial Transactions Using Machine Learning
    Malik, Pankaj
    Chourasia, Ankita
    Pandit, Rakesh
    Bawane, Sheetal
    Surana, Jayesh
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (03) : 2061 - 2069
  • [3] Polynomial-based modifiable blockchain structure for removing fraud transactions
    Cheng, Lichen
    Liu, Jiqiang
    Su, Chunhua
    Liang, Kaitai
    Xu, Guangquan
    Wang, Wei
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 99 : 154 - 163
  • [4] Advanced Fraud Detection in Blockchain Transactions: An Ensemble Learning and Explainable AI Approach
    Taher, Shimal Sh.
    Ameen, Siddeeq Y.
    Ahmed, Jihan A.
    [J]. ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (01) : 12822 - 12830
  • [5] Usurping Double-Ending Fraud in Real Estate Transactions via Blockchain Technology
    Mashatan, Atefeh
    Lemieux, Victoria
    Lee, Seung Hwan
    Szufel, Przemyslaw
    Roberts, Zachary
    [J]. JOURNAL OF DATABASE MANAGEMENT, 2021, 32 (01) : 27 - 48
  • [6] Fraud Risk Monitoring System for E-Banking Transactions
    Guo, Chaonian
    Wang, Hao
    Dai, Hong-Ning
    Cheng, Shuhan
    Wang, Tongsen
    [J]. 2018 16TH IEEE INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP, 16TH IEEE INT CONF ON PERVAS INTELLIGENCE AND COMP, 4TH IEEE INT CONF ON BIG DATA INTELLIGENCE AND COMP, 3RD IEEE CYBER SCI AND TECHNOL CONGRESS (DASC/PICOM/DATACOM/CYBERSCITECH), 2018, : 100 - 105
  • [7] FRAUD DETECTION IN FINANCIAL TRANSACTIONS
    Alsulami, Areej
    Alabdan, Rana
    [J]. ADVANCES AND APPLICATIONS IN STATISTICS, 2024, 91 (08) : 969 - 986
  • [8] Risk Assessment of Blockchain Technology
    Morganti, Giacomo
    Schiavone, Enrico
    Bondavalli, Andrea
    [J]. 2018 EIGHTH LATIN-AMERICAN SYMPOSIUM ON DEPENDABLE COMPUTING (LADC), 2018, : 87 - 96
  • [9] Credit Risk Management in Distributed Energy Resource Transactions Based on Blockchain
    Ping, Jian
    Yan, Zheng
    Chen, Sijie
    Shen, Zeyu
    Yang, Su
    Li, Jing
    Qu, Haoyuan
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2019, 39 (24): : 7137 - 7145
  • [10] Using Fraud Patterns for Fraud Risk Assessment of E-services
    Yesuf, Ahmed Seid
    Serna-Olvera, Jetzabel
    Rannenberg, Kai
    [J]. ICT SYSTEMS SECURITY AND PRIVACY PROTECTION, SEC 2017, 2017, 502 : 553 - 567