Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (52)
  • Open Access

    REVIEW

    A Review of Deep Learning-Based Vulnerability Detection Tools for Ethernet Smart Contracts

    Huaiguang Wu, Yibo Peng, Yaqiong He*, Jinlin Fan

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 77-108, 2024, DOI:10.32604/cmes.2024.046758

    Abstract In recent years, the number of smart contracts deployed on blockchain has exploded. However, the issue of vulnerability has caused incalculable losses. Due to the irreversible and immutability of smart contracts, vulnerability detection has become particularly important. With the popular use of neural network model, there has been a growing utilization of deep learning-based methods and tools for the identification of vulnerabilities within smart contracts. This paper commences by providing a succinct overview of prevalent categories of vulnerabilities found in smart contracts. Subsequently, it categorizes and presents an overview of contemporary deep learning-based tools developed for smart contract detection. These… More > Graphic Abstract

    A Review of Deep Learning-Based Vulnerability Detection Tools for Ethernet Smart Contracts

  • Open Access

    ARTICLE

    A Framework for Enhancing Privacy and Anonymity in Blockchain-Enabled IoT Devices

    Muhammad Saad1, Muhammad Raheel Bhutta2, Jongik Kim3,*, Tae-Sun Chung1

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4263-4282, 2024, DOI:10.32604/cmc.2024.047132

    Abstract With the increase in IoT (Internet of Things) devices comes an inherent challenge of security. In the world today, privacy is the prime concern of every individual. Preserving one’s privacy and keeping anonymity throughout the system is a desired functionality that does not come without inevitable trade-offs like scalability and increased complexity and is always exceedingly difficult to manage. The challenge is keeping confidentiality and continuing to make the person innominate throughout the system. To address this, we present our proposed architecture where we manage IoT devices using blockchain technology. Our proposed architecture works on and off blockchain integrated with… More >

  • Open Access

    ARTICLE

    A Fair and Trusted Trading Scheme for Medical Data Based on Smart Contracts

    Xiaohui Yang, Kun Zhang*

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1843-1859, 2024, DOI:10.32604/cmc.2023.047660

    Abstract Data is regarded as a valuable asset, and sharing data is a prerequisite for fully exploiting the value of data. However, the current medical data sharing scheme lacks a fair incentive mechanism, and the authenticity of data cannot be guaranteed, resulting in low enthusiasm of participants. A fair and trusted medical data trading scheme based on smart contracts is proposed, which aims to encourage participants to be honest and improve their enthusiasm for participation. The scheme uses zero-knowledge range proof for trusted verification, verifies the authenticity of the patient’s data and the specific attributes of the data before the transaction,… More >

  • Open Access

    REVIEW

    A Review on the Security of the Ethereum-Based DeFi Ecosystem

    Yue Xue1, Dunqiu Fan2, Shen Su1,3,*, Jialu Fu1, Ning Hu1, Wenmao Liu2, Zhihong Tian1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 69-101, 2024, DOI:10.32604/cmes.2023.031488

    Abstract Decentralized finance (DeFi) is a general term for a series of financial products and services. It is based on blockchain technology and has attracted people’s attention because of its open, transparent, and intermediary free. Among them, the DeFi ecosystem based on Ethereum-based blockchains attracts the most attention. However, the current decentralized financial system built on the Ethereum architecture has been exposed to many smart contract vulnerabilities during the last few years. Herein, we believe it is time to improve the understanding of the prevailing Ethereum-based DeFi ecosystem security issues. To that end, we investigate the Ethereum-based DeFi security issues: 1)… More >

  • Open Access

    ARTICLE

    EduASAC: A Blockchain-Based Education Archive Sharing and Access Control System

    Ronglei Hu1, Chuce He1, Yaping Chi2, Xiaoyi Duan1, Xiaohong Fan1, Ping Xu1, Wenbin Gao1,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3387-3422, 2023, DOI:10.32604/cmc.2023.042000

    Abstract In the education archive sharing system, when performing homomorphic ciphertext retrieval on the storage server, there are problems such as low security of shared data, confusing parameter management, and weak access control. This paper proposes an Education Archives Sharing and Access Control (EduASAC) system to solve these problems. The system research goal is to realize the sharing of security parameters, the execution of access control, and the recording of system behaviors based on the blockchain network, ensuring the legitimacy of shared membership and the security of education archives. At the same time, the system can be combined with most homomorphic… More >

  • Open Access

    ARTICLE

    The Detection of Fraudulent Smart Contracts Based on ECA-EfficientNet and Data Enhancement

    Xuanchen Zhou1,2,3, Wenzhong Yang2,3,*, Liejun Wang2,3, Fuyuan Wei2,3, KeZiErBieKe HaiLaTi2,3, Yuanyuan Liao2,3

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 4073-4087, 2023, DOI:10.32604/cmc.2023.040253

    Abstract With the increasing popularity of Ethereum, smart contracts have become a prime target for fraudulent activities such as Ponzi, honeypot, gambling, and phishing schemes. While some researchers have studied intelligent fraud detection, most research has focused on identifying Ponzi contracts, with little attention given to detecting and preventing gambling or phishing contracts. There are three main issues with current research. Firstly, there exists a severe data imbalance between fraudulent and non-fraudulent contracts. Secondly, the existing detection methods rely on diverse raw features that may not generalize well in identifying various classes of fraudulent contracts. Lastly, most prior studies have used… More >

  • Open Access

    ARTICLE

    Privacy Enhanced Mobile User Authentication Method Using Motion Sensors

    Chunlin Xiong1,2, Zhengqiu Weng3,4,*, Jia Liu1, Liang Gu2, Fayez Alqahtani5, Amr Gafar6, Pradip Kumar Sharma7

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 3013-3032, 2024, DOI:10.32604/cmes.2023.031088

    Abstract With the development of hardware devices and the upgrading of smartphones, a large number of users save privacy-related information in mobile devices, mainly smartphones, which puts forward higher demands on the protection of mobile users’ privacy information. At present, mobile user authentication methods based on human-computer interaction have been extensively studied due to their advantages of high precision and non-perception, but there are still shortcomings such as low data collection efficiency, untrustworthy participating nodes, and lack of practicability. To this end, this paper proposes a privacy-enhanced mobile user authentication method with motion sensors, which mainly includes: (1) Construct a smart… More >

  • Open Access

    ARTICLE

    ChainApparel: A Trustworthy Blockchain and IoT-Based Traceability Framework for Apparel Industry 4.0

    Muhammad Shakeel Faridi1, Saqib Ali1,2,*, Guojun Wang2,*, Salman Afsar Awan1, Muhammad Zafar Iqbal3

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1837-1854, 2023, DOI:10.32604/cmc.2023.041929

    Abstract Trustworthiness and product traceability are essential factors in the apparel industry 4.0 for establishing successful business relationships among stakeholders such as customers, manufacturers, suppliers, and consumers. Each stakeholder has implemented different technology-based systems to record and track product transactions. However, these systems work in silos, and there is no intra-system communication, leading to a lack of complete supply chain traceability for all apparel stakeholders. Moreover, apparel stakeholders are reluctant to share their business information with business competitors; thus, they involve third-party auditors to ensure the quality of the final product. Furthermore, the apparel manufacturing industry faces challenges with counterfeit products,… More >

  • Open Access

    ARTICLE

    Mitigating Blackhole and Greyhole Routing Attacks in Vehicular Ad Hoc Networks Using Blockchain Based Smart Contracts

    Abdulatif Alabdulatif1,*, Mada Alharbi1, Abir Mchergui2, Tarek Moulahi3,4

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 2005-2022, 2024, DOI:10.32604/cmes.2023.029769

    Abstract The rapid increase in vehicle traffic volume in modern societies has raised the need to develop innovative solutions to reduce traffic congestion and enhance traffic management efficiency. Revolutionary advanced technology, such as Intelligent Transportation Systems (ITS), enables improved traffic management, helps eliminate congestion, and supports a safer environment. ITS provides real-time information on vehicle traffic and transportation systems that can improve decision-making for road users. However, ITS suffers from routing issues at the network layer when utilising Vehicular Ad Hoc Networks (VANETs). This is because each vehicle plays the role of a router in this network, which leads to a… More >

  • Open Access

    ARTICLE

    MBE: A Music Copyright Depository Framework Incorporating Blockchain and Edge Computing

    Jianmao Xiao1, Ridong Huang1, Jiangyu Wang1, Zhean Zhong1, Chenyu Liu1, Yuanlong Cao1,*, Chuying Ouyang2

    Computer Systems Science and Engineering, Vol.47, No.3, pp. 2815-2834, 2023, DOI:10.32604/csse.2023.039716

    Abstract Audio copyright is a crucial issue in the music industry, as it protects the rights and interests of creators and distributors. This paper studies the current situation of digital music copyright certification and proposes a music copyright certification framework based on “blockchain + edge computing mode,” abbreviated as MBE, by integrating edge computing into the Hyperledger Fabric system. MBE framework compresses and splits the audio into small chunks, performs Fast Fourier Transform (FFT) to extract the peak points of each frequency and combines them to obtain unique audio fingerprint information. After being confirmed by various nodes on the Fabric alliance… More >

Displaying 1-10 on page 1 of 52. Per Page