Fraud detections for online businesses: a perspective from blockchain technology

نویسندگان

  • Yuanfeng Cai
  • Dan Zhu
چکیده

Results: The detection of fraudulent raters is not easy since they can behave strategically to camouflage themselves. We explore the potential strengths and limitations of blockchain-based reputation systems under two attack goals: ballot-stuffing and bad-mouthing, and various attack models including constant attack, camouflage attack, whitewashing attack and sybil attack. Blockchain-based reputation systems are more robust against bad-mouthing than ballot-stuffing fraud.

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تاریخ انتشار 2017