Applying blockchain-based method to smart contract classification for CPS applications  

作　　者：Zigui Jiang Kai Chen Hailin Wen Zibin Zheng 

机构地区：[1]School of Software Engineering,Sun Yat-Sen University,China [2]School of Mathematics,Sun Yat-Sen University,China [3]School of Computer Science and Engineering,Sun Yat-Sen University,China

出　　处：《Digital Communications and Networks》2022年第6期964-975,共12页数字通信与网络（英文版）

基　　金：supported by the National Natural Science Foundation of China(62032025,62002393);the Technology Program of Guangzhou,China(202103050004).

摘　　要：Smart contract has been the core of blockchain systems and other blockchain-based systems since Blockchain 2.0.Various operations on blockchain are performed through the invocation and execution of smart contracts.This leads to extensive combinations between blockchain,smart contract,Internet of Things(IoT)and Cyber-Physical System(CPS)applications,and then many blockchain-based IoT or CPS applications emerge to provide multiple benefits to the economy and society.In this case,obtaining a better understanding of smart contracts will contribute to the easier operation,higher efficiency and stronger security of those blockchain-based systems and applications.Many existing studies on smart contract analysis are based on similarity calculation and smart contract classification.However,smart contract is a piece of code with special characteristics and most of smart contracts are stored without any category labels,which leads to difficulties of smart contract classification.As the back end of a blockchain-based Decentralized Application(DApp)is one or several smart contracts,DApps with labeled categories and open source codes are applied to achieve a supervised smart contract classification.A three-phase approach is proposed to categorize DApps based on various data features.In this approach,5,659 DApps with smart contract source codes and pre-tagged categories are first obtained based on massive collected DApps and smart contracts from Ethereum,State of the DApps and DappRadar.Then feature extraction and construction methods are designed to form multi-feature vectors that could present the major characteristics of DApps.Finally,a fused classification model consisting of KNN,XGBoost and random forests is applied to the multi-feature vectors of all DApps for performing DApp classification.The experimental results show that the method is effective.In addition,some positive correlations between feature variables and categories,as well as several user behavior patterns of DApp calls,are found in this paper.

关 键 词：Blockchain Blockchain-based application Smart contract DApP classification SOLIDITY 

分 类 号：TN91[电子电信—通信与信息系统]