A Supervised Learning Model for Detecting Ponzi Contracts in Ethereum Blockchain-Reference-Cited by-同舟云学术

A Supervised Learning Model for Detecting Ponzi Contracts in Ethereum Blockchain

Published:2022 Issue: Volume: Page:657-672
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Aljofey Ali,Jiang Qingshan,Qu Qiang

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-0852-1_52

Reference23 articles.

1. Iansiti, M., Lakhani, K.R.: The truth about blockchain. Harvard Bus. Rev. 95(1), 118–127 (2017)

2. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008). https://bitcoin.org/bitcoin.pdf

3. Zheng, Z., Xie, S., Dai, H.N., Chen, X., Wang, H.: Blockchain challenges and opportunities: a survey. Int. J. Web Grid Serv. 14(4), 352 (2018)

4. Higgins, S.: SEC seizes assets from alleged altcoin pyramid scheme (2015). https://www.coindesk.com/sec-seizesalleged-altcoinpyramid-scheme

5. Morris, D.: The rise of cryptocurrency Ponzi schemes (2017). https://www.theatlantic.com/technology/archive/2017/05/cryptocurrency-ponzi-schemes/5286

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