TY - GEN
T1 - Computational experimental evaluation of the time variance of cryptocurrency mining using cryptographic hash functions
AU - Ikebe, Kei
AU - Sakurai, Kouichi
N1 - Funding Information:
We would like to express our sincere gratitude to Professor Sakurai and all the members of his laboratory for their guidance in conducting this research despite their busy schedules. This work was partially supported by JSPS Grants-in-Aid for Scientific Research (B) JP18H03240.
Publisher Copyright:
© 2022 ACM.
PY - 2022/7/8
Y1 - 2022/7/8
N2 - When trading cryptocurrencies, mining is the process of searching for a solution to a computationally difficult problem. Due to the nature of the search, the time required for mining is subject to fluctuations. This is undesirable from the standpoint of security. In order to reduce the variance of mining time, we implemented the multiple concatenation mining method proposed in existing research and evaluated its performance. Although the results differ from theoretical values, the effect of small variance was confirmed.
AB - When trading cryptocurrencies, mining is the process of searching for a solution to a computationally difficult problem. Due to the nature of the search, the time required for mining is subject to fluctuations. This is undesirable from the standpoint of security. In order to reduce the variance of mining time, we implemented the multiple concatenation mining method proposed in existing research and evaluated its performance. Although the results differ from theoretical values, the effect of small variance was confirmed.
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U2 - 10.1145/3559795.3559803
DO - 10.1145/3559795.3559803
M3 - Conference contribution
AN - SCOPUS:85141582025
T3 - ACM International Conference Proceeding Series
SP - 54
EP - 61
BT - 2022 4th Blockchain and Internet of Things Conference, BIOTC 2022
PB - Association for Computing Machinery
T2 - 4th Blockchain and Internet of Things Conference, BIOTC 2022
Y2 - 8 July 2022 through 10 July 2022
ER -