Identifying Spurious Hash Addresses in the Bitcoin Network and Making Predictions Using Various ML Models

Uddin, Md Ashraf; Ahsan, Md Naimul; Das, Mrinmoy; Afroze, Masuka

Identifying Spurious Hash Addresses in the Bitcoin Network and Making Predictions Using Various ML Models

conference contribution

posted on 2024-11-06, 01:09 authored by Md Ashraf UddinMd Ashraf Uddin, Md Naimul Ahsan, Mrinmoy Das, Masuka Afroze

Identifying Spurious Hash Addresses in the Bitcoin Network and Making Predictions Using Various ML Models

History

Pagination

9-17

Location

Fukuoka, Japan

Open access

No

Start date

2024-07-19

End date

2024-07-21

ISBN-13

979-8-4007-1700-0

Language

en

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

BIOTC 2024 : Proceedings of the 6th Blockchain and Internet of Things Conference

Event

Blockchain and Internet of Things Conference. (6th : 2024 : Fukuoka, Japan)

Publisher

ACM

Place of publication

New York, N.Y.

Publication URL

http://dx.doi.org/10.1145/3688225.3688227

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Keywords

Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)Machine learning models Fake hash addresses Features Timestamps Grams dataset Regular dataset

Identifying Spurious Hash Addresses in the Bitcoin Network and Making Predictions Using Various ML Models

History

Pagination

Location

Open access

Start date

End date

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Publication URL

Usage metrics

Categories

Keywords

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