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  • Open Access

    ARTICLE

    An Interoperability Cross-Block Chain Framework for Secure Transactions in IoT

    N. Anand Kumar1,*, A. Grace Selvarani2, P. Vivekanandan3

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 1077-1090, 2023, DOI:10.32604/csse.2023.034115

    Abstract The purpose of this research is to deal with effective block chain framework for secure transactions. The rate of effective data transactions and the interoperability of the ledger are the two major obstacles involved in Blockchain and to tackle this issue, Cross-Chain based Transaction (CCT) is introduced. Traditional industries have been restructured by the introduction of Internet of Things (IoT) to become smart industries through the feature of data-driven decision-making. Still, there are a few limitations, like decentralization, security vulnerabilities, poor interoperability, as well as privacy concerns in IoTs. To overcome this limitation, Blockchain has been employed to assure a… More >

  • Open Access

    ARTICLE

    Hybrid Graph Partitioning with OLB Approach in Distributed Transactions

    Rajesh Bharati*, Vahida Attar

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 763-775, 2023, DOI:10.32604/iasc.2023.035503

    Abstract Online Transaction Processing (OLTP) gets support from data partitioning to achieve better performance and scalability. The primary objective of database and application developers is to provide scalable and reliable database systems. This research presents a novel method for data partitioning and load balancing for scalable transactions. Data is efficiently partitioned using the hybrid graph partitioning method. Optimized load balancing (OLB) approach is applied to calculate the weight factor, average workload, and partition efficiency. The presented approach is appropriate for various online data transaction applications. The quality of the proposed approach is examined using OLTP database benchmark. The performance of the… More >

  • Open Access

    ARTICLE

    Lightweight Storage Framework for Blockchain-Enabled Internet of Things Under Cloud Computing

    Xinyi Qing1,3, Baopeng Ye2, Yuanquan Shi1,3, Tao Li4,*, Yuling Chen4, Lei Liu1

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3607-3624, 2023, DOI:10.32604/cmc.2023.037532

    Abstract Due to its decentralized, tamper-proof, and trust-free characteristics, blockchain is used in the Internet of Things (IoT) to guarantee the reliability of data. However, some technical flaws in blockchain itself prevent the development of these applications, such as the issue with linearly growing storage capacity of blockchain systems. On the other hand, there is a lack of storage resources for sensor devices in IoT, and numerous sensor devices will generate massive data at ultra-high speed, which makes the storage problem of the IoT enabled by blockchain more prominent. There are various solutions to reduce the storage burden by modifying the… More >

  • Open Access

    ARTICLE

    Smart Fraud Detection in E-Transactions Using Synthetic Minority Oversampling and Binary Harris Hawks Optimization

    Chandana Gouri Tekkali, Karthika Natarajan*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3171-3187, 2023, DOI:10.32604/cmc.2023.036865

    Abstract Fraud Transactions are haunting the economy of many individuals with several factors across the globe. This research focuses on developing a mechanism by integrating various optimized machine-learning algorithms to ensure the security and integrity of digital transactions. This research proposes a novel methodology through three stages. Firstly, Synthetic Minority Oversampling Technique (SMOTE) is applied to get balanced data. Secondly, SMOTE is fed to the nature-inspired Meta Heuristic (MH) algorithm, namely Binary Harris Hawks Optimization (BinHHO), Binary Aquila Optimization (BAO), and Binary Grey Wolf Optimization (BGWO), for feature selection. BinHHO has performed well when compared with the other two. Thirdly, features… More >

  • Open Access

    ARTICLE

    Blockchain Mobile Wallet with Secure Offline Transactions

    Raed Saeed Rasheed1, Khalil Hamdi Ateyeh Al-Shqeerat2,*, Ahmed Salah Ghorab3, Fuad Salama AbuOwaimer4, Aiman Ahmed AbuSamra1

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2905-2919, 2023, DOI:10.32604/cmc.2023.036691

    Abstract There has been an increase in the adoption of mobile payment systems worldwide in the past few years. However, poor Internet connection in rural regions continues to be an obstacle to the widespread use of such technologies. On top of that, there are significant problems with the currently available offline wallets; for instance, the payee cannot verify the number of coins received without access to the Internet. Additionally, it has been demonstrated that some existing systems are susceptible to false token generation, and some do not even permit the user to divide the offline token into smaller portions to be… More >

  • Open Access

    ARTICLE

    Blockchain-Based Power Transaction Method for Active Distribution Network

    Fei Zeng1, Zhinong Wei1, Haiteng Han1,*, Yang Chen2

    Energy Engineering, Vol.120, No.5, pp. 1067-1080, 2023, DOI:10.32604/ee.2023.022479

    Abstract A blockchain-based power transaction method is proposed for Active Distribution Network (ADN), considering the poor security and high cost of a centralized power trading system. Firstly, the decentralized blockchain structure of the ADN power transaction is built and the transaction information is kept in blocks. Secondly, considering the transaction needs between users and power suppliers in ADN, an energy request mechanism is proposed, and the optimization objective function is designed by integrating cost aware requests and storage aware requests. Finally, the particle swarm optimization algorithm is used for multi-objective optimal search to find the power trading scheme with the minimum… More >

  • Open Access

    ARTICLE

    A Transaction Frequency Based Trust for E-Commerce

    Dong Huang1,*, Sean Xu2

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5319-5329, 2023, DOI:10.32604/cmc.2023.033798

    Abstract Most traditional trust computing models in E-commerce do not take the transaction frequency among participating entities into consideration, which makes it easy for one party of the transaction to obtain a high trust value in a short time, and brings many disadvantages, uncertainties and even attacks. To solve this problem, a transaction frequency based trust is proposed in this study. The proposed method is composed of two parts. The first part is built on the classic Bayes analysis based trust models which are ease of computing for the E-commerce system. The second part is the transaction frequency module which can… More >

  • Open Access

    ARTICLE

    A Secure Framework for Blockchain Transactions Protection

    Wafaa N. Al-Sharu1,*, Majdi K. Qabalin2, Muawya Naser2, Omar A. Saraerh1

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1095-1111, 2023, DOI:10.32604/csse.2023.032862

    Abstract One of the most extensively used technologies for improving the security of IoT devices is blockchain technology. It is a new technology that can be utilized to boost the security. It is a decentralized peer-to-peer network with no central authority. Multiple nodes on the network mine or verify the data recorded on the Blockchain. It is a distributed ledger that may be used to keep track of transactions between several parties. No one can tamper with the data on the blockchain since it is unchangeable. Because the blocks are connected by hashes, the transaction data is safe. It is managed… More >

  • Open Access

    ARTICLE

    Customer Segment Prediction on Retail Transactional Data Using K-Means and Markov Model

    A. S. Harish*, C. Malathy

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 589-600, 2023, DOI:10.32604/iasc.2023.032030

    Abstract Retailing is a dynamic business domain where commodities and goods are sold in small quantities directly to the customers. It deals with the end user customers of a supply-chain network and therefore has to accommodate the needs and desires of a large group of customers over varied utilities. The volume and volatility of the business makes it one of the prospective fields for analytical study and data modeling. This is also why customer segmentation drives a key role in multiple retail business decisions such as marketing budgeting, customer targeting, customized offers, value proposition etc. The segmentation could be on various… More >

  • Open Access

    ARTICLE

    An Optimal Algorithm for Secure Transactions in Bitcoin Based on Blockchain

    Jazem Mutared Alanazi, Ahmad Ali AlZubi*

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3693-3712, 2023, DOI:10.32604/iasc.2023.030287

    Abstract Technological advancement has made a significant contribution to the change of the economy and the advancement of humanity. Because it is changing how economic transactions are carried out, the blockchain is one of the technical developments that has a lot of promise for this progress. The public record of the Bitcoin blockchain provides dispersed users with evidence of transaction ownership by publishing all transaction data from block reward transactions to unspent transaction outputs. Attacks on the public ledger, on the other hand, are a result of the fact that all transaction information are exposed. De-anonymization attacks allow users to link… More >

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