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Digital Financial Transaction Security Based on Blockchain Technology
by
Song, Huitong
, Chen, Yansheng
in
Blockchain
/ Blockchain Technology
/ Cryptography
/ Digital Currency
/ Digital Finance
/ K-nearest neighbors algorithm
/ Performance tests
/ Physics
/ Security
/ Shaking
/ Transaction Security
2021
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Digital Financial Transaction Security Based on Blockchain Technology
by
Song, Huitong
, Chen, Yansheng
in
Blockchain
/ Blockchain Technology
/ Cryptography
/ Digital Currency
/ Digital Finance
/ K-nearest neighbors algorithm
/ Performance tests
/ Physics
/ Security
/ Shaking
/ Transaction Security
2021
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Do you wish to request the book?
Digital Financial Transaction Security Based on Blockchain Technology
by
Song, Huitong
, Chen, Yansheng
in
Blockchain
/ Blockchain Technology
/ Cryptography
/ Digital Currency
/ Digital Finance
/ K-nearest neighbors algorithm
/ Performance tests
/ Physics
/ Security
/ Shaking
/ Transaction Security
2021
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Digital Financial Transaction Security Based on Blockchain Technology
Journal Article
Digital Financial Transaction Security Based on Blockchain Technology
2021
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Overview
Blockchain technology is currently recognized as the most potential new key technology, it can bring earth shaking changes, it is expected to trigger a new round of technological innovation and industrial change, and cause market attention. The purpose of this paper is to study the security of digital financial transactions based on blockchain technology. Firstly, the security of sdte is analyzed, and the DoS attacks that each role may launch, the attacks that a single role may send, and the attacks that can be launched by multiple roles in collusion are analyzed. It shows that sdte can resist these attacks and has strong security. Then, the related environment of the system test is described. Then, the performance test and analysis are carried out from the key security transmission, the execution of smart contract in the trusted environment SGX and the total running time. The experimental results show that the extra time consumed by using the k-nearest neighbor (KNN) algorithm to process data is less than 0.45s, At the same time, the additional cost brought by the system is also acceptable.
Publisher
IOP Publishing
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