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New Online Communities: Graph Deep Learning on Anonymous Voting Networks to Identify Sybils in Polycentric Governance (2311.17929v7)

Published 25 Nov 2023 in cs.LG, cs.SY, and eess.SY

Abstract: This research examines the polycentric governance of digital assets in blockchain-based Decentralized Autonomous Organizations (DAOs). It offers a theoretical framework and addresses a critical challenge facing decentralized governance by developing a method to identify Sybils, or spurious identities. Sybils pose significant organizational sustainability threats to DAOs and other, commons-based online communities, and threat models are identified. The experimental method uses an autoencoder architecture and graph deep learning techniques to identify Sybil activity in a DAO governance dataset (snapshot.org). Specifically, a Graph Convolutional Neural Network (GCNN) learned voting behaviours and a fast vector clustering algorithm used high-dimensional embeddings to identify similar nodes in a graph. The results reveal that deep learning can effectively identify Sybils, reducing the voting graph by 2-5%. This research underscores the importance of Sybil resistance in DAOs, identifies challenges and opportunities for forensics and analysis of anonymous networks, and offers a novel perspective on decentralized governance, informing future policy, regulation, and governance practices.

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References (67)
  1. BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain, June 2019. arXiv:1906.07852 [cs].
  2. A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism. Sensors, 22(19):7162, January 2022.
  3. When is a DAO Decentralized? Complex Systems Informatics and Modeling Quarterly, (31):51–75, July 2022.
  4. Wherefore Art Thou R3579x? Anonymized Social Networks, Hidden Patterns, and Structural Steganography. In Proceedings of the 16th international conference on World Wide Web, WWW ’07, pages 181–190, New York, NY, USA, May 2007. Association for Computing Machinery.
  5. The rise of decentralized autonomous organizations (DAOs): a first empirical glimpse. Venture Capital, 25(2):187–203, April 2023. Publisher: Routledge _eprint: https://doi.org/10.1080/13691066.2022.2116797.
  6. The Identification and Influence of Social Roles in a Social Media Product Community. Journal of Computer-Mediated Communication, 22(6):337–362, November 2017.
  7. BitMEX Research. Bitcoin Address Re-use Statistics, February 2022.
  8. Cooperation among an anonymous group protected Bitcoin during failures of decentralization, June 2022.
  9. Collusion-Proof Decentralized Autonomous Organizations, April 2022.
  10. Vitalik Buterin. The promise and challenges of crypto + AI applications, January 2024.
  11. What makes a good contributor? Understanding contributor behavior within large Free/Open Source Software projects – A socialization perspective. The Journal of Strategic Information Systems, 26(4):322–359, December 2017.
  12. Neural network based approach for Ethereum fraud detection. In 2023 4th International Conference on Intelligent Engineering and Management (ICIEM), pages 1–4, London, United Kingdom, May 2023. IEEE.
  13. Progressing to the Center: Coordinating Project Work. Organization Science, 22(4):961–979, August 2011.
  14. Big from the beginning: Assessing online contributors’ behavior by their first contribution. Research Policy, 44(6):1226–1239, July 2015.
  15. John R. Douceur. The Sybil Attack. International Workshop on Peer-to-Peer Systems, 2002.
  16. Quinn DuPont. Experiments in Algorithmic Governance: An ethnography of ”The DAO,” a failed Decentralized Autonomous Organization. In Malcolm Campbell-Verduyn, editor, Bitcoin and Beyond: The Challenges and Opportunities of Blockchains for Global Governance, pages 157–177. Routledge, New York, 2018.
  17. Quinn DuPont. Guiding Principles for Ethical Cryptocurrency, Blockchain, and DLT Research. Cryptoeconomic Systems, 1(1), 2020.
  18. Quinn DuPont. A Progressive Web3: From Digital Polycentric Governance to Social Coproduction. In Defining Web3: A Guide to the New Cultural Economy, Research in the Sociology of Organizations. Emerald Group Publishing, 2024.
  19. Paul Dylan-Ennis. Hash, Bash, Cash: How Changed Happens in Decentralised Web3 Cultures. 2023.
  20. Altruistic and Profit-oriented: Making Sense of Roles in Web3 Community from Airdrop Perspective. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI ’23, pages 1–16, New York, NY, USA, April 2023. Association for Computing Machinery.
  21. A Comparative Analysis of the Adoption of Decentralized Governance in the Blockchain Through DAOs. preprint, In Review, February 2021.
  22. Leading Collaboration in Online Communities. MIS Quarterly, 39(2):393–412, February 2015.
  23. Online Community as Space for Knowledge Flows. Information Systems Research, 27(4):668–684, December 2016.
  24. The Tragedy of the Commons: Twenty-Two Years Later. Human Ecology, 18(1):1–19, 1990.
  25. Blockchain technology as a regulatory technology: From code is law to law is code. First Monday, 21(12), November 2016.
  26. Jana Gallus. Fostering Public Good Contributions with Symbolic Awards: A Large-Scale Natural Field Experiment at Wikipedia. Management Science, 63(12):3999–4015, December 2017.
  27. Metaverse governance: An empirical analysis of voting within Decentralized Autonomous Organizations. Journal of Business Research, 160:113764, May 2023.
  28. Digitization of Transaction Terms as a Shift Parameter within TCE: Strong Smart Contract as a New Mode of Transaction Governance, June 2023.
  29. Garrett Hardin. The Tragedy of the Commons. Science, 162(3859):1243–1248, 1968.
  30. Garrett Hardin. The tragedy of the unmanaged commons. Trends in Ecology & Evolution, 9(5):199, May 1994.
  31. Albert O. Hirschman. Exit, Voice, and Loyalty: Responses to Decline in Firms, Organizations, and States. Harvard University Press, Cambridge MA, 1970.
  32. Plural Publics. March 2023.
  33. How to Peel a Million: Validating and Expanding Bitcoin Clusters. 2022.
  34. Victoria Lemieux. Searching for Trust: Blockchain Technology in an Age of Disinformation. Cambridge University Press, Cambridge UK, 2022.
  35. Xuan Liu. The Illusion of Democracy? An Empirical Study of DAO Governance and Voting Behavior, May 2023.
  36. Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity. In Proceedings of the First ACM International Conference on AI in Finance, ICAIF ’20, pages 1–8, New York, NY, USA, October 2021. Association for Computing Machinery.
  37. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction, September 2020. arXiv:1802.03426 [cs, stat].
  38. A Fistful of Bitcoins: Characterizing Payments Among Men with No Names. In Proceedings of the 2013 Conference on Internet Measurement Conference, IMC ’13, pages 127–140, New York, NY, USA, 2013. ACM.
  39. Beyond Collusion Resistance: Leveraging Social Information for Plural Funding and Voting. SSRN Electronic Journal, 2022.
  40. The Sustainability of Polycentric Information Commons. MIS Quarterly, 42(2):607–631, February 2018.
  41. Resurrecting Address Clustering in Bitcoin, July 2022.
  42. De-anonymizing Social Networks. In 2009 30th IEEE Symposium on Security and Privacy, pages 173–187, May 2009.
  43. Elinor Ostrom. Governing the Commons. Cambridge University Press, Cambridge UK, 1990.
  44. Revisiting the Commons: Local Lessons, Global Challenges. Science, 284(5412):278–282, April 1999.
  45. Sybil resistance with bryan ford.
  46. Ransomware Payments in the Bitcoin Ecosystem, April 2018. arXiv:1804.04080 [cs].
  47. Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods, February 2017. arXiv:1611.03941 [cs].
  48. Simon J.D. Prince. Understanding Deep Learning. MIT Press, 2024.
  49. Generative Adversarial Networks for Cyber Threat Hunting in Ethereum Blockchain. Distributed Ledger Technologies: Research and Practice, 2(2):9:1–9:19, June 2023.
  50. Eric S. Raymond. The Cathedral & the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary. O’Reilly, Cambridge MA, 1st ed edition, 1999.
  51. The Ins and Outs of Decentralized Autonomous Organizations (Daos), December 2021.
  52. Exploiting Deep Learning Based Classification Model for Detecting Fraudulent Schemes over Ethereum Blockchain. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), pages 1–6, December 2022.
  53. Exit to Community: Strategies for Multi-Stakeholder Ownership in the Platform Economy. Georgetown Law Technology Review, 5(1):71, 2021.
  54. Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice, April 2023.
  55. Voter Coalitions in Decentralized Autonomous Organization (DAO): Evidence from MakerDAO, January 2023.
  56. Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls, March 2023.
  57. Latanya Sweeney. K-Anonymity: A Model for Protecting Privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(05):557–570, October 2002.
  58. JP Vergne. Web3 as Decentralization Theater? A Framework for Envisioning Decentralization Strategically. 2023.
  59. An Empirical Study on Snapshot DAOs, May 2023.
  60. Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics, July 2019. arXiv:1908.02591 [cs, q-fin].
  61. Oliver E. Williamson. Transaction-Cost Economics: The Governance of Contractual Relations. The Journal of Law & Economics, 22(2):233–261, 1979.
  62. Steven A. Wright. Measuring DAO Autonomy: Lessons From Other Autonomous Systems. IEEE Transactions on Technology and Society, 2(1):43–53, 2021.
  63. Detecting Mixing Services via Mining Bitcoin Transaction Network with Hybrid Motifs. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(4):2237–2249, April 2022. arXiv:2001.05233 [cs].
  64. Auto.gov: Learning-based On-chain Governance for Decentralized Finance (DeFi), February 2023.
  65. Task management in decentralized autonomous organization. Journal of Operations Management, 68(6-7):649–674, 2022.
  66. Behavior-aware Account De-anonymization on Ethereum Interaction Graph. IEEE Transactions on Information Forensics and Security, 17:3433–3448, 2022. arXiv:2203.09360 [cs].
  67. A Taxonomy of Decentralized Autonomous Organizations. ICIS 2022 Proceedings, December 2022.
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