模糊测试
数据库事务
计算机科学
计算机安全
智能合约
假阳性悖论
人气
假阳性和假阴性
国家(计算机科学)
块链
数据库
人工智能
程序设计语言
软件
心理学
社会心理学
作者
Mingxi Ye,Yuhong Nan,Zibin Zheng,Dongpeng Wu,Huizhong Li
标识
DOI:10.1145/3597926.3598057
摘要
Decentralized applications (DApps) consist of multiple smart contracts running on Blockchain. With the increasing popularity of the DApp ecosystem, vulnerabilities in DApps could bring significant impacts such as financial losses. Identifying vulnerabilities in DApps is by no means trivial, as modern DApps consist of complex interactions across multiple contracts. Previous research suffers from either high false positives or false negatives, due to the lack of precise contextual information which is mandatory for confirming smart contract vulnerabilities when analyzing smart contracts.
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