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IJSTR >> Volume 9 - Issue 2, February 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Detecting Multi-Block Double Spent Transaction Based On B-Tree Indexing

[Full Text]

 

AUTHOR(S)

A. Murugan, J. Vijayalakshmi

 

KEYWORDS

Bitcoin, Blockchain, B-tree index, Cognizant Merkle, Double-spend attack, Peer-to-Peer network, Transactions,

 

ABSTRACT

The emergence of cryptocurrency as a new payment method gives rise to various security threats related to transaction malleability like privacy leakage, loss of amount, doing illicit activities, and double-spending of the same money more than once. Double-spending of money is quite easier to implement in cryptocurrency management rather than fiat currency management because data replication can be easily done here. The rise of double-spending may degrade the performance of the Bitcoin network. In Blockchain, there may be lakhs of records and thousands of blocks available, of this detecting double-spending data in multiple blocks takes more time. To address the time management, of detecting double-spent data in multiple blocks of blockchain this paper had proposed Multi-Block Double spent Transaction Detection (MBDTD) architecture using B-tree indexing and Cognizant Merkle. The combination of Cognizant Merkle and B-tree indexing supports the rapid verification of transaction data in multiple blocks. B-tree indexing supports speedy retrieval of Merkle value among multiple blocks and Cognizant Merkle supports quick searching of transactions in each block.

 

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