IEICE TRANSACTIONS on Information
Discovering Message Templates on Large Scale Bitcoin Abuse Reports Using a Two-Fold NLP-Based Clustering Method
Summary :
Bitcoin is currently a hot issue worldwide, and it is expected to become a new legal tender that replaces the current currency started with El Salvador. Due to the nature of cryptocurrency, however, difficulties in tracking led to the arising of misuses and abuses. Consequently, the pain of innocent victims by exploiting these bitcoins abuse is also increasing. We propose a way to detect new signatures by applying two-fold NLP-based clustering techniques to text data of Bitcoin abuse reports received from actual victims. By clustering the reports of text data, we were able to cluster the message templates as the same campaigns. The new approach using the abuse massage template representing clustering as a signature for identifying abusers is much efficacious.
- Publication
- IEICE TRANSACTIONS on Information Vol.E105-D No.4 pp.824-827
- Publication Date
- 2022/04/01
- Publicized
- 2022/01/11
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2021EDL8092
- Type of Manuscript
- LETTER
- Category
- Artificial Intelligence, Data Mining
Authors
Jinho CHOI
Korea Advanced Institute of Science and Technology
Taehwa LEE
Korea Advanced Institute of Science and Technology
Kwanwoo KIM
Korea Advanced Institute of Science and Technology
Minjae SEO
Korea Advanced Institute of Science and Technology
Jian CUI
Korea Advanced Institute of Science and Technology
Seungwon SHIN
Korea Advanced Institute of Science and Technology
Keyword
Latest Issue
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Jinho CHOI, Taehwa LEE, Kwanwoo KIM, Minjae SEO, Jian CUI, Seungwon SHIN, "Discovering Message Templates on Large Scale Bitcoin Abuse Reports Using a Two-Fold NLP-Based Clustering Method" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 4, pp. 824-827, April 2022, doi: 10.1587/transinf.2021EDL8092.
Abstract: Bitcoin is currently a hot issue worldwide, and it is expected to become a new legal tender that replaces the current currency started with El Salvador. Due to the nature of cryptocurrency, however, difficulties in tracking led to the arising of misuses and abuses. Consequently, the pain of innocent victims by exploiting these bitcoins abuse is also increasing. We propose a way to detect new signatures by applying two-fold NLP-based clustering techniques to text data of Bitcoin abuse reports received from actual victims. By clustering the reports of text data, we were able to cluster the message templates as the same campaigns. The new approach using the abuse massage template representing clustering as a signature for identifying abusers is much efficacious.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021EDL8092/_p
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@ARTICLE{e105-d_4_824,
author={Jinho CHOI, Taehwa LEE, Kwanwoo KIM, Minjae SEO, Jian CUI, Seungwon SHIN, },
journal={IEICE TRANSACTIONS on Information},
title={Discovering Message Templates on Large Scale Bitcoin Abuse Reports Using a Two-Fold NLP-Based Clustering Method},
year={2022},
volume={E105-D},
number={4},
pages={824-827},
abstract={Bitcoin is currently a hot issue worldwide, and it is expected to become a new legal tender that replaces the current currency started with El Salvador. Due to the nature of cryptocurrency, however, difficulties in tracking led to the arising of misuses and abuses. Consequently, the pain of innocent victims by exploiting these bitcoins abuse is also increasing. We propose a way to detect new signatures by applying two-fold NLP-based clustering techniques to text data of Bitcoin abuse reports received from actual victims. By clustering the reports of text data, we were able to cluster the message templates as the same campaigns. The new approach using the abuse massage template representing clustering as a signature for identifying abusers is much efficacious.},
keywords={},
doi={10.1587/transinf.2021EDL8092},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - Discovering Message Templates on Large Scale Bitcoin Abuse Reports Using a Two-Fold NLP-Based Clustering Method
T2 - IEICE TRANSACTIONS on Information
SP - 824
EP - 827
AU - Jinho CHOI
AU - Taehwa LEE
AU - Kwanwoo KIM
AU - Minjae SEO
AU - Jian CUI
AU - Seungwon SHIN
PY - 2022
DO - 10.1587/transinf.2021EDL8092
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2022
AB - Bitcoin is currently a hot issue worldwide, and it is expected to become a new legal tender that replaces the current currency started with El Salvador. Due to the nature of cryptocurrency, however, difficulties in tracking led to the arising of misuses and abuses. Consequently, the pain of innocent victims by exploiting these bitcoins abuse is also increasing. We propose a way to detect new signatures by applying two-fold NLP-based clustering techniques to text data of Bitcoin abuse reports received from actual victims. By clustering the reports of text data, we were able to cluster the message templates as the same campaigns. The new approach using the abuse massage template representing clustering as a signature for identifying abusers is much efficacious.
ER -
English
