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Decentralized Incentive-Compatible and Sybil-Proof Transaction Advertisement

  • Oğuzhan ErsoyEmail author
  • Zekeriya Erkin
  • Reginald L. Lagendijk
Conference paper
  • 7 Downloads
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

In a blockchain network, transaction advertisement is the announcement of the new transactions to the participants (miners) who are responsible to validate them. Existing blockchain protocols lack an incentive-compatible advertisement process where a rational participant would gain from advertising a transaction. The deficiency can be solved by a Sybil-proof rewarding function which divides the transaction fee among the round leader and the nodes who advertise it. Up to now, there have been three rewarding function proposals, all of which require special constraints on the blockchain network model, e.g., tree-structured connections. In this work, we formulate the rewarding function and obtain the necessary conditions for Sybil-proofness and incentive-compatibility properties. To the best of our knowledge, we present the first rewarding function which is suitable for any blockchain network model. We introduce path length dependent rewarding for the nodes involved in the advertisement process, which helps us to overcome the impossibility results given in the previous works. Our rewarding function divides the transaction fee among the nodes who advertise it, the current round leader and the next round leader. In addition to these achievements, unlike previous proposals, our rewarding function provides resistance against the forking attacks where an adversary rejects a valid block and creates a fork to gain the transaction fees in the original block.

Keywords

Blockchain Transaction advertisement Incentive mechanism 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Oğuzhan Ersoy
    • 1
    Email author
  • Zekeriya Erkin
    • 1
  • Reginald L. Lagendijk
    • 1
  1. 1.Cyber Security Group, Department of Intelligent SystemsDelft University of TechnologyDelftThe Netherlands

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