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扫荡区块链:揭露Web3诈骗中的非法账户.pdf

上传人: 竿*** 编号:981820 2025-11-29 28页 1.68MB

1、#BHAS BlackHatEventsSweeping the BlockchainSweeping the Blockchain:Unmasking Illicit Accounts in Web3 ScamsUnmasking Illicit Accounts in Web3 ScamsSpeaker:Wenkai LiHainan University,ChinaCollaborators:Zhijie Liu(ShanghaiTech University),Xiaoqi Li*(Hainan University)*Corresponding author:csxqliieee.o

2、rg#BHAS BlackHatEventsThe TeamLi Wenkai PhD Student,Hainan University,China https:/cswkli.github.io/Liu Zhijie Msc Student,ShanghaiTech University,China https:/rroscha.github.io/Li Xiaoqi Associate Professor,Hainan University,China csxqliieee.org https:/csxqli.github.io/Security Research9 year-exper

3、ience(since 2016)of Ethereum(Born in 2015)Blockchain Security.Blockchain/Software/System Security and Privacy,Ethereum/Smart Contract,Malware Detection,andetc.40+papers including ASE、INFOCOM、ICSE、WWW、AAAI、TSE,etc.within 5 years30+CVE/CNVD Vulnerabilities identified within 5 years3700+citations withi

4、n 5 yearsBest Paper from INFOCOM、ISPEC、CCF,etc.SV Insight Annual Global Top-50 Blockchain Research PaperESI Hot(Top 0.1%)、Highly Cited Paper(Top 1%)About Us#BHAS BlackHatEventsAgendaOverviewIntroductionScamSweeperCase StudyExperimentsMotivation#BHAS BlackHatEventsIntroduction#BHAS BlackHatEvents Man

5、y ways for crypto users to engage with Web3.0:The most used Web3.0 Services:The 3rdGeneration Internet Web 3.0NFTDecentralandMETAHorizon WorldsDEXCEXCrypto Gaming#BHAS BlackHatEventsThe 3rdGeneration Internet Web 3.0 What is the scale of Web3.0 tech market?A growing trend.The accelerating growth rat

6、e.USD 3.17 billion in 2024.Web3.0 applications DApp,DeFi protocol,DID,and etc.based on blockchain.The blockchain node network follows a power-law distribution.A minority of accounts appear at majority of Txs.1.061.361.732.233.1711.522.533.520202021202220232024Web3 Market Size YearThe Web3 environmen

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根据《Sweeping the Blockchain: Unmasking Illicit Accounts in Web3 Scams》的内容,以下是全文关键点的概括: 1. **研究背景**:Web3.0市场迅速增长,但随之而来的是Web3.0诈骗风险,如钓鱼、Rug Pulls、有害空投等。 2. **研究方法**:提出ScamSweeper,结合结构-时间随机游走(STRWalk)和变分Transformer进行动态交易图学习。 3. **核心数据**: - 2024年Web3.0市场规模预计达31.7亿美元。 - 5年内发表40多篇论文,包括ASE、INFOCOM等。 - 5年内发现30多个CVE/CNVD漏洞。 - 5年内获得3700多次引用。 4. **实验结果**:ScamSweeper在F1分数和加权F1分数上优于其他方法。 5. **案例研究**:通过动态演变分析,揭示了诈骗者的恶意伪装行为。
ScamSweeper如何行动?" ScamSweeper如何识别诈骗?" Web3时代的安全守护者?"
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