IEICE TRANSACTIONS on Information
A Large-Scale Bitcoin Abuse Measurement and Clustering Analysis Utilizing Public Reports
Summary :
Cryptocurrency abuse has become a critical problem. Due to the anonymous nature of cryptocurrency, criminals commonly adopt cryptocurrency for trading drugs and deceiving people without revealing their identities. Despite its significance and severity, only few works have studied how cryptocurrency has been abused in the real world, and they only provide some limited measurement results. Thus, to provide a more in-depth understanding on the cryptocurrency abuse cases, we present a large-scale analysis on various Bitcoin abuse types using 200,507 real-world reports collected by victims from 214 countries. We scrutinize observable abuse trends, which are closely related to real-world incidents, to understand the causality of the abuses. Furthermore, we investigate the semantics of various cryptocurrency abuse types to show that several abuse types overlap in meaning and to provide valuable insight into the public dataset. In addition, we delve into abuse channels to identify which widely-known platforms can be maliciously deployed by abusers following the COVID-19 pandemic outbreak. Consequently, we demonstrate the polarization property of Bitcoin addresses practically utilized on transactions, and confirm the possible usage of public report data for providing clues to track cyber threats. We expect that this research on Bitcoin abuse can empirically reach victims more effectively than cybercrime, which is subject to professional investigation.
- Publication
- IEICE TRANSACTIONS on Information Vol.E105-D No.7 pp.1296-1307
- Publication Date
- 2022/07/01
- Publicized
- 2022/04/07
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2021EDP7182
- Type of Manuscript
- PAPER
- Category
- Artificial Intelligence, Data Mining
Authors
Jinho CHOI
KAIST
Jaehan KIM
KAIST
Minkyoo SONG
KAIST
Hanna KIM
KAIST
Nahyeon PARK
KAIST
Minjae SEO
KAIST
Youngjin JIN
KAIST
Seungwon SHIN
KAIST
Keyword
Latest Issue
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Jinho CHOI, Jaehan KIM, Minkyoo SONG, Hanna KIM, Nahyeon PARK, Minjae SEO, Youngjin JIN, Seungwon SHIN, "A Large-Scale Bitcoin Abuse Measurement and Clustering Analysis Utilizing Public Reports" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 7, pp. 1296-1307, July 2022, doi: 10.1587/transinf.2021EDP7182.
Abstract: Cryptocurrency abuse has become a critical problem. Due to the anonymous nature of cryptocurrency, criminals commonly adopt cryptocurrency for trading drugs and deceiving people without revealing their identities. Despite its significance and severity, only few works have studied how cryptocurrency has been abused in the real world, and they only provide some limited measurement results. Thus, to provide a more in-depth understanding on the cryptocurrency abuse cases, we present a large-scale analysis on various Bitcoin abuse types using 200,507 real-world reports collected by victims from 214 countries. We scrutinize observable abuse trends, which are closely related to real-world incidents, to understand the causality of the abuses. Furthermore, we investigate the semantics of various cryptocurrency abuse types to show that several abuse types overlap in meaning and to provide valuable insight into the public dataset. In addition, we delve into abuse channels to identify which widely-known platforms can be maliciously deployed by abusers following the COVID-19 pandemic outbreak. Consequently, we demonstrate the polarization property of Bitcoin addresses practically utilized on transactions, and confirm the possible usage of public report data for providing clues to track cyber threats. We expect that this research on Bitcoin abuse can empirically reach victims more effectively than cybercrime, which is subject to professional investigation.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021EDP7182/_p
Copy
@ARTICLE{e105-d_7_1296,
author={Jinho CHOI, Jaehan KIM, Minkyoo SONG, Hanna KIM, Nahyeon PARK, Minjae SEO, Youngjin JIN, Seungwon SHIN, },
journal={IEICE TRANSACTIONS on Information},
title={A Large-Scale Bitcoin Abuse Measurement and Clustering Analysis Utilizing Public Reports},
year={2022},
volume={E105-D},
number={7},
pages={1296-1307},
abstract={Cryptocurrency abuse has become a critical problem. Due to the anonymous nature of cryptocurrency, criminals commonly adopt cryptocurrency for trading drugs and deceiving people without revealing their identities. Despite its significance and severity, only few works have studied how cryptocurrency has been abused in the real world, and they only provide some limited measurement results. Thus, to provide a more in-depth understanding on the cryptocurrency abuse cases, we present a large-scale analysis on various Bitcoin abuse types using 200,507 real-world reports collected by victims from 214 countries. We scrutinize observable abuse trends, which are closely related to real-world incidents, to understand the causality of the abuses. Furthermore, we investigate the semantics of various cryptocurrency abuse types to show that several abuse types overlap in meaning and to provide valuable insight into the public dataset. In addition, we delve into abuse channels to identify which widely-known platforms can be maliciously deployed by abusers following the COVID-19 pandemic outbreak. Consequently, we demonstrate the polarization property of Bitcoin addresses practically utilized on transactions, and confirm the possible usage of public report data for providing clues to track cyber threats. We expect that this research on Bitcoin abuse can empirically reach victims more effectively than cybercrime, which is subject to professional investigation.},
keywords={},
doi={10.1587/transinf.2021EDP7182},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - A Large-Scale Bitcoin Abuse Measurement and Clustering Analysis Utilizing Public Reports
T2 - IEICE TRANSACTIONS on Information
SP - 1296
EP - 1307
AU - Jinho CHOI
AU - Jaehan KIM
AU - Minkyoo SONG
AU - Hanna KIM
AU - Nahyeon PARK
AU - Minjae SEO
AU - Youngjin JIN
AU - Seungwon SHIN
PY - 2022
DO - 10.1587/transinf.2021EDP7182
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2022
AB - Cryptocurrency abuse has become a critical problem. Due to the anonymous nature of cryptocurrency, criminals commonly adopt cryptocurrency for trading drugs and deceiving people without revealing their identities. Despite its significance and severity, only few works have studied how cryptocurrency has been abused in the real world, and they only provide some limited measurement results. Thus, to provide a more in-depth understanding on the cryptocurrency abuse cases, we present a large-scale analysis on various Bitcoin abuse types using 200,507 real-world reports collected by victims from 214 countries. We scrutinize observable abuse trends, which are closely related to real-world incidents, to understand the causality of the abuses. Furthermore, we investigate the semantics of various cryptocurrency abuse types to show that several abuse types overlap in meaning and to provide valuable insight into the public dataset. In addition, we delve into abuse channels to identify which widely-known platforms can be maliciously deployed by abusers following the COVID-19 pandemic outbreak. Consequently, we demonstrate the polarization property of Bitcoin addresses practically utilized on transactions, and confirm the possible usage of public report data for providing clues to track cyber threats. We expect that this research on Bitcoin abuse can empirically reach victims more effectively than cybercrime, which is subject to professional investigation.
ER -
English
