Big data analytics to identify illegal activities on Bitcoin Blockchain for IoMT-Reference-Cited by-同舟云学术

Big data analytics to identify illegal activities on Bitcoin Blockchain for IoMT

Published:2021-05-10 Issue: Volume: Page:
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Kumar Ajay,Abhishek Kumar,Nerurkar Pranav,Khosravi Mohammad R.,Ghalib Muhammad Rukunuddin,Shankar Achyut^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Link

https://link.springer.com/content/pdf/10.1007/s00779-021-01562-z.pdf

Reference61 articles.

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2. Aiolli F, Conti M, Gangwal A, Polato M (2019) Mind your wallet’s privacy: identifying bitcoin wallet apps and user’s actions through network traffic analysis. https://doi.org/10.1145/3297280.3297430

3. Akcora CG, Li Y, Gel YR, Kantarcioglu M BitcoinHeist: topological data analysis for ransomware detection on the Bitcoin Blockchain. arXiv:1906.07852

4. Alqassem I, Rahwan I, Svetinovic D (2018) The anti-social system properties: Bitcoin network data analysis. IEEE Trans Syst Man Cybern: Syst 1–11. https://doi.org/10.1109/TSMC.2018.2883678

5. Bartoletti M, Pes B, Serusi S (2018) Data mining for detecting Bitcoin Ponzi schemes. In: 2018 Crypto valley conference on Blockchain technology (CVCBT), pp 75–84

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