Resource Analysis in Blockchain Transactions: An Opcode-Driven Multilayer Graph Approach
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| Vydáno v: | ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal vol. 14 (2025), p. e31609-e31631 |
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Ediciones Universidad de Salamanca
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| On-line přístup: | Citation/Abstract Full Text - PDF |
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| 001 | 3282913686 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2255-2863 | ||
| 024 | 7 | |a 10.14201/adcaij.31609 |2 doi | |
| 035 | |a 3282913686 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Hasnaoui, Inas | |
| 245 | 1 | |a Resource Analysis in Blockchain Transactions: An Opcode-Driven Multilayer Graph Approach | |
| 260 | |b Ediciones Universidad de Salamanca |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Blockchain technology has experienced significant growth across various industries. However, challenges such as scalability, high transaction fees, and resource inefficiencies continue to limit its full potential. This paper presents a novel approach using a multilayer graph to model and analyze blockchain transactions, with a focus on resource consumption—specifically opcode execution and gas usage. By categorizing accounts into distinct layers—Externally Owned Accounts (EOAs), smart contracts, oracles, and cross-chain bridges—the graph-based model captures interactions across these account types. Through transaction trace analysis, we extract opcode usage and gas consumption, applying graph-theoretical metrics such as node scoring and edge weighting to identify critical nodes and resource-intensive transactions. Our findings provide new insights into resource-heavy behaviors, revealing optimization opportunities to reduce transaction costs and improve scalability. Additionally, the approach aids in anomaly detection and smart contract optimization, enhancing the cost-effectiveness and performance of blockchain systems. | |
| 653 | |a Anomalies | ||
| 653 | |a Multilayers | ||
| 653 | |a Consumption | ||
| 653 | |a Cost effectiveness | ||
| 653 | |a Blockchain | ||
| 653 | |a Optimization | ||
| 700 | 1 | |a Zrikem, Maria | |
| 700 | 1 | |a Elassali, Raja | |
| 773 | 0 | |t ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal |g vol. 14 (2025), p. e31609-e31631 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3282913686/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3282913686/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |