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Poster: Challenges in Stopping Ticket Scalping Bots

Published: 05 October 2020 Publication History

Abstract

The existence of ticket scalpers is a negative impact to all performers, audience, and primary ticket sellers. Automated ticket scalping bots, especially, generate serious damages to the online ticketing systems, and cause an extremely unfair competition between malicious ticket scalpers and normal users. However, little work had been done to address this security issue and propose solutions. In this paper, we will formulate this problem, propose an evaluation framework to systematize some known defenses, and provide several directions that can be further researched to mitigate automated ticket scalping bots.

References

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Edward Kaiser and Wu-chang Feng. 2010. Helping TicketMaster: Changing the Economics of Ticket Robots with Geographic Proof-of-Work. 1 -- 6. https://doi.org/10.1109/INFCOMW.2010.5466663
[2]
N. Nassar and G. Miller. 2012. Method for a two dimensional honeypot to deter web bots in commerce systems. In 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN). 250--256.
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M. Osadchy, J. Hernandez-Castro, S. Gibson, O. Dunkelman, and D. Pérez-Cabo. 2017. No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation. IEEE Transactions on Information Forensics and Security, Vol. 12, 11 (2017), 2640--2653.
[4]
Edvard Pettersson. 2017. Ticketmaster Sues Broker Over Use of 'Bots' to Buy Up Tickets. https://www.bloomberg.com/news/articles/2017--10-02/ticketmaster-sues-broker-over-use-of-bots-to-buy-up-tickets
[5]
Chenghui Shi, Xiaogang Xu, Shouling Ji, Kai Bu, Jianhai Chen, Raheem A. Beyah, and Ting Wang. 2019. Adversarial CAPTCHAs. CoRR, Vol. abs/1901.01107 (2019). arxiv: 1901.01107 http://arxiv.org/abs/1901.01107
[6]
Antoine Vastel, Walter Rudametkin, Romain Rouvoy, and Xavier Blanc. 2020. FP-Crawlers: Studying the Resilience of Browser Fingerprinting to Block Crawlers. In MADWeb'20 - NDSS Workshop on Measurements, Attacks, and Defenses for the Web, Oleksii Starov, Alexandros Kapravelos, and Nick Nikiforakis (Eds.). San Diego, United States. https://doi.org/10.14722/ndss.2020.23xxx
[7]
Colin Watson and Tin Zaw. 2018. OWASPAutomated Threat Handbook Web Applications, Version 1.2 .
[8]
Jeff Yan and Ahmad Ahmad. 2008. Breaking Visual CAPTCHAs with Naive Pattern Recognition Algorithms. 279--291. https://doi.org/10.1109/ACSAC.2007.47

Cited By

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  • (2024)Tickets or privacy? understand the ecosystem of chinese ticket grabbing appsProceedings of the 33rd USENIX Conference on Security Symposium10.5555/3698900.3699186(5107-5124)Online publication date: 14-Aug-2024

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cover image ACM Conferences
ASIA CCS '20: Proceedings of the 15th ACM Asia Conference on Computer and Communications Security
October 2020
957 pages
ISBN:9781450367509
DOI:10.1145/3320269
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 October 2020

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Author Tags

  1. evaluation framework
  2. online ticketing system
  3. ticket scalping

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Overall Acceptance Rate 418 of 2,322 submissions, 18%

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  • (2024)Tickets or privacy? understand the ecosystem of chinese ticket grabbing appsProceedings of the 33rd USENIX Conference on Security Symposium10.5555/3698900.3699186(5107-5124)Online publication date: 14-Aug-2024

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