Malicious smart contract creation transaction identification method and device
The invention discloses a malicious smart contract creation transaction identification method and device, and aims to deal with risks and adverse effects possibly caused by a malicious smart contract in a block chain network. The method mainly comprises a real-time monitoring module, a feature extra...
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| creator | TU TIANYU REN KUI LIU JIAN REN SHOUPENG |
| description | The invention discloses a malicious smart contract creation transaction identification method and device, and aims to deal with risks and adverse effects possibly caused by a malicious smart contract in a block chain network. The method mainly comprises a real-time monitoring module, a feature extraction module and a machine learning evaluation module. The method comprises the following steps: monitoring a contract creation transaction on an Ethereum block chain; the key features of the contract creation activity are accurately captured by performing feature extraction on the contract creation transaction; and evaluating the features of the contract creation transaction through a machine learning model, and identifying a malicious contract creation transaction. According to the method, the cost of manually auditing the intelligent contract can be greatly reduced, and potential threats can be found and prevented in time.
本发明公开了一种恶意智能合约创建交易识别方法及装置，旨在应对恶意智能合约在区块链网络中可能引发的风险和不良影响。所述方法主要包括实时监控、特征提取和机器学习评估三个模块。通过对以太 |
| format | Patent |
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本发明公开了一种恶意智能合约创建交易识别方法及装置，旨在应对恶意智能合约在区块链网络中可能引发的风险和不良影响。所述方法主要包括实时监控、特征提取和机器学习评估三个模块。通过对以太</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240405&DB=EPODOC&CC=CN&NR=117828588A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240405&DB=EPODOC&CC=CN&NR=117828588A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TU TIANYU</creatorcontrib><creatorcontrib>REN KUI</creatorcontrib><creatorcontrib>LIU JIAN</creatorcontrib><creatorcontrib>REN SHOUPENG</creatorcontrib><title>Malicious smart contract creation transaction identification method and device</title><description>The invention discloses a malicious smart contract creation transaction identification method and device, and aims to deal with risks and adverse effects possibly caused by a malicious smart contract in a block chain network. The method mainly comprises a real-time monitoring module, a feature extraction module and a machine learning evaluation module. The method comprises the following steps: monitoring a contract creation transaction on an Ethereum block chain; the key features of the contract creation activity are accurately captured by performing feature extraction on the contract creation transaction; and evaluating the features of the contract creation transaction through a machine learning model, and identifying a malicious contract creation transaction. According to the method, the cost of manually auditing the intelligent contract can be greatly reduced, and potential threats can be found and prevented in time.
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本发明公开了一种恶意智能合约创建交易识别方法及装置，旨在应对恶意智能合约在区块链网络中可能引发的风险和不良影响。所述方法主要包括实时监控、特征提取和机器学习评估三个模块。通过对以太</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Malicious smart contract creation transaction identification method and device |
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