首页|Adaptive multi-channel Bayesian graph attention network for IoT transaction security

Adaptive multi-channel Bayesian graph attention network for IoT transaction security

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With the rapid advancement of 5G technology,the Internet of Things(IoT)has entered a new phase of appli-cations and is rapidly becoming a significant force in promoting economic development.Due to the vast amounts of data created by numerous 5G IoT devices,the Ethereum platform has become a tool for the storage and sharing of IoT device data,thanks to its open and tamper-resistant characteristics.So,Ethereum account security is necessary for the Internet of Things to grow quickly and improve people's lives.By modeling Ethereum trans-action records as a transaction network,the account types are well identified by the Ethereum account classifi-cation system established based on Graph Neural Networks(GNNs).This work first investigates the Ethereum transaction network.Surprisingly,experimental metrics reveal that the Ethereum transaction network is neither optimal nor even satisfactory in terms of accurately representing transactions per account.This flaw may significantly impede the classification capability of GNNs,which is mostly governed by their attributes.This work proposes an Adaptive Multi-channel Bayesian Graph Attention Network(AMBGAT)for Ethereum account clas-sification to address this difficulty.AMBGAT uses attention to enhance node features,estimate graph topology that conforms to the ground truth,and efficiently extract node features pertinent to downstream tasks.An extensive experiment with actual Ethereum transaction data demonstrates that AMBGAT obtains competitive performance in the classification of Ethereum accounts while accurately estimating the graph topology.

Internet of thingsGraph representation learningNode classificationSecurity mechanism

Zhaowei Liu、Dong Yang、Shenqiang Wang、Hang Su

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School of Computer and Control Engineering,Yantai University,Yantai,264005,China

Department of Electronics,Information and Bioengineering,Politecnico di Milano,Milan,20133,Italy

National Natural Science Foundation of ChinaSchool and Locality Integration Development Project of Yantai City(2022)Youth Innovation Science and Technology Support Program of Shandong ProvincialNatural Science Foundation of Shandong ProvinceYantai Science and Technology Innovation Development Plan ProjectOpen Foundation of State key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunica

622724052021KJ080ZR2022MF2382021YT06000645SKLNST-2022-1-12

2024

10.1016/j.dcan.2022.11.018

数字通信与网络(英文)

数字通信与网络(英文)

ISSN：
年,卷(期)：2024.10(3)