TY - GEN
T1 - Detecting Smart Contract Project Anomalies in Metaverse
AU - Su, Shen
AU - Tan, Yuntian
AU - Xue, Yue
AU - Wang, Chao
AU - Lu, Hui
AU - Tian, Zhihong
AU - Shan, Chun
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The metaverse virtual assets are carried by smart contract, thus detecting the potential smart contract vulnerabilities and malicious intension is critical to protect the metaverse digital assets and the investors' confidence. However, existing research mainly focus on the Ethereum address features, which can hardly reveal the characteristics of the entire smart contract project. In this paper, we take the first step to detect smart contract anomalies on the granularity of smart contract project, and propose a method to identify the smart contract project's subordinate addresses, and a model network which takes the runtime features of the smart contract project. We further apply our method on our dataset collected from projects deployed on Ethereum, and prove that our method could effectively recognize the similarity of smart contract projects, and identify the malicious transactions which trigger smart contract project anomalies.
AB - The metaverse virtual assets are carried by smart contract, thus detecting the potential smart contract vulnerabilities and malicious intension is critical to protect the metaverse digital assets and the investors' confidence. However, existing research mainly focus on the Ethereum address features, which can hardly reveal the characteristics of the entire smart contract project. In this paper, we take the first step to detect smart contract anomalies on the granularity of smart contract project, and propose a method to identify the smart contract project's subordinate addresses, and a model network which takes the runtime features of the smart contract project. We further apply our method on our dataset collected from projects deployed on Ethereum, and prove that our method could effectively recognize the similarity of smart contract projects, and identify the malicious transactions which trigger smart contract project anomalies.
KW - anomaly
KW - graph neural network
KW - message call
KW - metaverse
KW - smart contract project
UR - http://www.scopus.com/inward/record.url?scp=85174585957&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174585957&partnerID=8YFLogxK
U2 - 10.1109/MetaCom57706.2023.00095
DO - 10.1109/MetaCom57706.2023.00095
M3 - Conference contribution
AN - SCOPUS:85174585957
T3 - Proceedings - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
SP - 524
EP - 532
BT - Proceedings - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
T2 - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
Y2 - 26 June 2023 through 28 June 2023
ER -