Constructive system for double-spend data detection and prevention in inter and intra-block of blockchain

【Author】 Vijayalakshmi, J.; Murugan, A.

【Source】INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING

【影响因子】0.000

【Abstract】Currently, our global financial market faces lots of trouble due to migration from fiat currency to cryptocurrency and its underlying blockchain technology. Blockchain provides trust in a decentralised way for storing, managing, and retrieving the transactions. The double-spending issue arises due to the erroneous transaction verification mechanism in the blockchain. Research has shown that transaction malleability like double-spending creates millions of bitcoins losses to the owners as well as few bitcoin exchanges. This research aims to detect and prevent the double-spending of bitcoins in single and multiple blocks. In this context, double-spend data in a single block is identified using the DPL2A method. Further, the original transaction from the double-spend transaction list is identified using the ACRT method which acts as a prevention of double-spend in a forthcoming occurrence. Similarly, double-spend data in multiple blocks are identified using MBDTD along with the Cognizant Merkle tree. Finally, a system named F2DP is constructed to detect and prevent the double-spend data in inter and intra blocks of the blockchain. The result indicates these methods will act best for double-spend detection and prevention with a limited set of transaction records. Further research is needed to increase the scalability of transaction records.

【Keywords】cryptocurrency; bitcoin; double-spending; UTXO; Merkle

【发表时间】2021

【收录时间】2022-01-12

【文献类型】期刊

【主题类别】

区块链技术--