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Implementation and Security Analysis of Cryptocurrencies Based on Ethereum

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arxiv 2504.21367 v2 pith:YEKUX3YX submitted 2025-04-30 cs.CE

Implementation and Security Analysis of Cryptocurrencies Based on Ethereum

classification cs.CE
keywords blockchaincontractsprovidessecuritysmarttechnologyapplicationconstructed
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Blockchain technology has set off a wave of decentralization in the world since its birth. The trust system constructed by blockchain technology based on cryptography algorithm and computing power provides a practical and powerful solution to solve the trust problem in human society. In order to make more convenient use of the characteristics of blockchain and build applications on it, smart contracts appear. By defining some trigger automatic execution contracts, the application space of blockchain is expanded and the foundation for the rapid development of blockchain is laid. This is blockchain 2.0. However, the programmability of smart contracts also introduces vulnerabilities. In order to cope with the insufficient security guarantee of high-value application networks running on blockchain 2.0 and smart contracts, this article will be represented by Ethereum to introduce the technical details of understanding blockchain 2.0 and the operation principle of contract virtual machines, and explain how cryptocurrencies based on blockchain 2.0 are constructed and operated. The common security problems and solutions are also discussed. Based on relevant research and on-chain practice, this paper provides a complete and comprehensive perspective to understanding cryptocurrency technology based on blockchain 2.0 and provides a reference for building more secure cryptocurrency contracts.

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Forward citations

Cited by 3 Pith papers

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  1. CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs

    cs.CR 2025-12 unverdicted novelty 6.0

    CKG-LLM uses LLMs to generate executable queries over contract knowledge graphs for detecting access control vulnerabilities and reports superior performance versus existing tools.

  2. From Viral to Void: Multi-Dimensional Behavioral and Contractual Analysis for Rug Pull Identification

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  3. Securing High-Concurrency Ticket Sales: A Framework Based on Microservice

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