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  • Open Access

    ARTICLE

    ISmart: Protecting Smart Contract Against Integer Bugs

    Xingyu Zeng1, Hua Zhang1,*, Chaosong Yan2, Liu Zhao1, Qiaoyan Wen1

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 997-1008, 2022, DOI:10.32604/iasc.2022.022801 - 08 February 2022

    Abstract Blockchain technology is known as a decentralized, distributed ledger that records digital asset. It has been applied in numbers of aspects of society, including finance, judiciary and commerce. Ethereum is referred to as the next generation decentralized application platform. It is one of the most popular blockchain platforms that supports smart contracts. Smart contract is a set of codes that sored on blockchain and can be called and created as turing-complete programs running on the blockchain. Developers use smart contracts to build decentralized applications (Dapp) which has widely used cryptocurrency related project. As smart contracts… More >

  • Open Access

    ARTICLE

    Smart Contract Fuzzing Based on Taint Analysis and Genetic Algorithms

    Zaoyu Wei1,*, Jiaqi Wang2, Xueqi Shen1, Qun Luo1

    Journal of Information Hiding and Privacy Protection, Vol.2, No.1, pp. 35-45, 2020, DOI:10.32604/jihpp.2020.010331 - 15 October 2020

    Abstract Smart contract has greatly improved the services and capabilities of blockchain, but it has become the weakest link of blockchain security because of its code nature. Therefore, efficient vulnerability detection of smart contract is the key to ensure the security of blockchain system. Oriented to Ethereum smart contract, the study solves the problems of redundant input and low coverage in the smart contract fuzz. In this paper, a taint analysis method based on EVM is proposed to reduce the invalid input, a dangerous operation database is designed to identify the dangerous input, and genetic algorithm More >

  • Open Access

    ARTICLE

    Smart Contract Fuzzing Based on Taint Analysis and Genetic Algorithms

    Zaoyu Wei1, *, Jiaqi Wang2, Xueqi Shen1, Qun Luo1

    Journal of Quantum Computing, Vol.2, No.1, pp. 11-24, 2020, DOI:10.32604/jqc.2020.010815 - 28 May 2020

    Abstract Smart contract has greatly improved the services and capabilities of blockchain, but it has become the weakest link of blockchain security because of its code nature. Therefore, efficient vulnerability detection of smart contract is the key to ensure the security of blockchain system. Oriented to Ethereum smart contract, the study solves the problems of redundant input and low coverage in the smart contract fuzz. In this paper, a taint analysis method based on EVM is proposed to reduce the invalid input, a dangerous operation database is designed to identify the dangerous input, and genetic algorithm More >

  • Open Access

    ARTICLE

    Detecting Android Inter-App Data Leakage Via Compositional Concolic Walking

    Tianjun Wu, Yuexiang Yang

    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 755-766, 2019, DOI:10.31209/2019.100000079

    Abstract While many research efforts have been around auditing individual android apps, the security issues related to the interaction among multiple apps are less studied. Due to the hidden nature of Inter-App communications, few existing security tools are able to detect such related vulnerable behaviors. This paper proposes to perform overall security auditing using dynamic analysis techniques. We focus on data leakage as it is one of the most common vulnerabilities for Android applications. We present an app auditing system AppWalker, which uses concolic execution on a set of apps. We use static Inter-App taint analysis… More >

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