Identification of High Yielding Investment Programs in Bitcoin via Transactions Pattern Analysis

Kentaroh Toyoda, Tomoaki Ohtsuki, P. Takis Mathiopoulos

研究成果: Conference contribution

23 被引用数 (Scopus)

抄録

Although Bitcoin is one of the most successful decentralized cryptocurrency, recent research has revealed that it can be used as fraudulent activities such as HYIP (High Yield Investment Program). To identify such undesired activities, it is important to obtain Bitcoin addresses related with fraud. So far, the identification of such activities is based upon relating Bitcoin addresses with graph mining procedures. In this paper, we follow a different approach for identifying Bitcoin addresses related with HYIP by analyzing transactions patterns. In particular, based on the individual inspection of HYIP activity in Bitcoin, we propose a number of features that can be extracted from transactions. In particular, a signed integer called pattern is assigned to each transaction and the frequency of each pattern is calculated as key features. By evaluating the classification performance with more than 1,500 labeled Bitcoin addresses, it is shown that about 83% of HYIP addresses are correctly classified while maintaining false positive rate less than 4.4%.

本文言語English
ホスト出版物のタイトル2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781509050192
DOI
出版ステータスPublished - 2017 7 1
イベント2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
継続期間: 2017 12 42017 12 8

出版物シリーズ

名前2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
2018-January

Other

Other2017 IEEE Global Communications Conference, GLOBECOM 2017
国/地域Singapore
CitySingapore
Period17/12/417/12/8

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 安全性、リスク、信頼性、品質管理

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