Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88895
Title: BiVA : Bitcoin network visualization & analysis
Authors: Oggier, Frédérique
Phetsouvanh, Silivanxay
Datta, Anwitaman
Keywords: Bitcoin Forensics
Graph Analysis
DRNTU::Engineering::Computer science and engineering
Issue Date: 2018
Source: Oggier, F., Phetsouvanh, S., & Datta, A. (2018). BiVA : Bitcoin network visualization & analysis. Proceedings of 2018 IEEE International Conference on Data Mining Workshops (ICDMW). doi:10.1109/ICDMW.2018.00210
Abstract: We showcase a graph mining tool, BiVA, for visualization and analysis of the Bitcoin network. It enables data exploration, visualization of subgraphs around nodes of interest, and integrates both standard and new algorithms, including a general algorithm for flow based clustering for directed graphs, and other Bitcoin network specific wallet address aggregation mechanisms. The BiVA user interface makes it easy to get started with a basic visualization that gives insights into nodes of interests, and the tool is modular, allowing easy integration of new algorithms. Its functionalities are demonstrated with a case study of extortion of Ashley Madison data breach victims.
URI: https://hdl.handle.net/10356/88895
http://hdl.handle.net/10220/48917
DOI: https://doi.org/10.1109/ICDMW.2018.00210
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICDMW.2018.00210
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers
SPMS Conference Papers

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