Survey of Risk Perception Technology for Web 3.0 Digital Economic

Jia Jinping; Xiao Shihan; Qian Kun; Yang Yanqin; Zhang Zhao

doi:10.7544/issn1000-1239.202330298

Journal of Computer Research and Development > 2024 > 61(12): 3005-3026. > DOI: 10.7544/issn1000-1239.202330298 CSTR: 32373.14.issn1000-1239.202330298

Jia Jinping, Xiao Shihan, Qian Kun, Yang Yanqin, Zhang Zhao. Survey of Risk Perception Technology for Web 3.0 Digital Economic[J]. Journal of Computer Research and Development, 2024, 61(12): 3005-3026. DOI: 10.7544/issn1000-1239.202330298

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Survey of Risk Perception Technology for Web 3.0 Digital Economic

Jia Jinping^{1, 2,},
Xiao Shihan^{1, 2},
Qian Kun^{1, 2},
Yang Yanqin^{1, 3},
Zhang Zhao^{1, 2, ,}

1.
Engineering Research Center of Blockchain Data Management (East China Normal University), Ministry of Education, Shanghai 200062
2.
School of Data Science and Engineering, East China Normal University, Shanghai 200062
3.
Software Engineering Institute, East China Normal University, Shanghai 200062

Funds: This work was supported by the National Natural Science Foundation of China (61972152) and the Program of Shanghai Leading Talent Program of Eastern Talent Plan (23XD1401100).

More Information

Author Bio:
Jia Jinping: born in 1996. PhD candidate. Her main research interests include blockchain, distributed databases, and location-based service

Xiao Shihan: born in 2000. Master candidate. Her main research interests include blockchain and distributed databases

Qian Kun: born in 1999. Master candidate. His main research interests include blockchain and distributed databases

Yang Yanqin: born in 1977. PhD, associate professor. Senior member of CCF. Her main research interests include compilation optimization, embedded system, and blockchain technology

Zhang Zhao: born in 1977. PhD, professor, PhD supervisor. Senior member of CCF. Her main research interests include distributed databases and blockchain data management
Received Date: April 05, 2023
Revised Date: August 14, 2023
Available Online: March 13, 2024

Graphical Abstract

Abstract

Abstract

The Web 3.0 digital economic system takes the blockchain platform as its infrastructure, and revolves around the digital assets such as cryptocurrencies, NFTs, digital collectibles, and decentralized applications (DApps) like decentralized finance (DeFi) and gaming finance (GameFi) to conduct various socio-economic activities. Smart contracts are the core of DApps on the public blockchains and the public permissioned blockchains, such as Ethereum, Solana, EOSIO, Findora, Antchain, ChainMaker, et al. Smart contracts can be deployed by any individual or organization, and are visible and accessible to all blockchain users. This openness brings new opportunities for economic development while also harboring numerous financial risks. We analyze potential risks for Web 3.0 digital economic by focusing on smart contract and summarize the current research on risk perception technology from three aspects: encoding, functionality, and application of smart contracts. We first introduce the research challenges, security vulnerability types, and four categories of vulnerability detection methods in smart contract vulnerability detection technology. Next, we analyze common types of smart contract scams and summarize existing scam recognition techniques based on different classifications of training data. Subsequently, we introduce the current state of technology for detecting four types of illicit transactions behaviors based on blockchain transaction records. Lastly, by analyzing the limitations of existing work, we envision the future research directions.
- Web 3.0,
- blockchain,
- smart contract,
- risk perception technology,
- digital economy

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References (100)

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