Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

8-2017

Abstract

In Bitcoin network, the distributed storage of multiple copies of the blockchain opens up possibilities for double spending, i.e., a payer issues two separate transactions to two different payees transferring the same coins. To detect the doublespending and penalize the malicious payer, decentralized non-equivocation contracts have been proposed. The basic idea of these contracts is that the payer locks some coins in a deposit when he initiates a transaction with the payee. If the payer double spends, a cryptographic primitive called accountable assertions can be used to reveal his Bitcoin credentials for the deposit. Thus, the malicious payer could be penalized by the loss of deposit coins. However, such decentralized non-equivocation contracts are subjected to collusion attacks where the payer colludes with the beneficiary of the deposit and transfers the Bitcoin deposit back to himself when he double spends, resulting in no penalties. On the other hand, even if the beneficiary behaves honestly, the victim payee cannot get any compensation directly from the deposit in the original design. To prevent such collusion attacks, we design fair deposits for Bitcoin transactions to defend against double-spending. The fair deposits ensure that the payer will be penalized by the loss of his deposit coins if he double spends and the victim payee's loss will be compensated. We start with proposing protocols of making a deposit for Bitcoin transactions. We then analyze the performance of deposits made for Bitcoin transactions and show how the fair deposits work efficiently in Bitcoin.

Keywords

Block-chain, Collusion attack, Cryptographic primitives, Distributed storage, Non equivocations, Original design

Discipline

Finance and Financial Management | Information Security

Research Areas

Cybersecurity

Publication

2017 IEEE Conference on Dependable and Secure Computing: Taipei, Taiwan, August 7-10: Proceedings

First Page

44

Last Page

51

ISBN

9781509055692

Identifier

10.1109/DESEC.2017.8073796

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/DESEC.2017.8073796

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