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Efficient Logging for Blockchain Applications

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arxiv 2001.10281 v1 pith:DIQGNWUX submitted 2020-01-28 cs.SE

classification cs.SE
keywords blockchainloggingdataethereumanalysisapplicationscodecontracts
verification ladder T0 review T1 audit T2 compute T3 formal
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Second generation blockchain platforms, like Ethereum, can store arbitrary data and execute user-defined smart contracts. Due to the shared nature of blockchains, understanding the usage of blockchain-based applications and the underlying network is crucial. Although log analysis is a well-established means, data extraction from blockchain platforms can be highly inconvenient and slow, not least due to the absence of logging libraries. To close the gap, we here introduce the Ethereum Logging Framework (ELF) which is highly configurable and available as open source. ELF supports users (i) in generating cost-efficient logging code readily embeddable into smart contracts and (ii) in extracting log analysis data into common formats regardless of whether the code generation has been used during development. We provide an overview of and rationale for the framework's features, outline implementation details, and demonstrate ELF's versatility based on three case studies from the public Ethereum blockchain.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. ETrace:Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis

    cs.CR 2025-06 reject novelty 6.0 of 10

    ETrace proposes detecting smart-contract attacks by having an LLM analyze transaction event logs instead of source code, with a four-example feasibility study only.

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