A novel data exploitation framework based on blockchain

Dib, Omar; Huyart, Clément; Toumi, Khalifa

doi:10.1016/j.pmcj.2019.101104

Cited by 17 publications

(6 citation statements)

References 7 publications

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“…In cloud services that store datasets, there is a risk of malicious tampering and a single point of failure of the dataset model of the data owner. Dib [24] proposed a dataset utilization system based on Hyperledger (Fabric 1.1). In Figure 3, it is shown that the cloud service stores only the data model encrypted by the data owner, and consumers pay for the service through Hyperledger when sharing the dataset.…”

Section: Iot Securitymentioning

confidence: 99%

Hyperledger for IoT: A Review of Reconstruction Diagrams Perspective

Leng

Wang²,

Zheng³

et al. 2022

Electronics

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The convergence of blockchain with the internet of things (IoT) attracted widespread attention. Blockchain mainly solved the problem of secure storage and trusted transactions. The convergence of these two emerging technologies enhanced the security of smart services. However, there were some technical barriers to the deployment of practical IoT systems. In order to further promote the popularity and application of blockchain in the IoT, Hyperledger became the ideal technology to overcome these obstacles. In recent years, the mainstream application fields of IoT tried to carry out integration with Hyperledger to achieve high security, fine-grained privacy protection, real-time data flow, robustness, and other business requirements. However, there was a lack of literature review on this topic. This study obtained the latest related literature of Hyperledger in IoT from Web of Science, Wordlib, and EBSCO databases. To demonstrate more intuitive differences and provide a technology convergence process, this study proposes a reconstruction diagram analysis method. Reconstruction is the process of fusing the core design and the original architecture diagram in the literature and reconstructing the diagram so that it can show the core ideas of the literature. This approach aims to visualize the core ideas of the literature. Finally, this paper prospected and concluded by proposing four directions for future work, including a low-energy consensus algorithm, intelligent transaction validation, mixed on-chain and off-chain storage, and customized incentives.

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Section: Iot Securitymentioning

confidence: 99%

Hyperledger for IoT: A Review of Reconstruction Diagrams Perspective

Leng

Wang²,

Zheng³

et al. 2022

Electronics

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show abstract

“…However, they assume that the data owners in their system are honest, which is not suitable for most data trading scenarios. Zhao et al [ 28 ] proposed a blockchain-based data fair trading protocol that integrates technologies such as ring signature and a double-authentication-preventing signature to enhance the privacy, availability, and fairness of data trading. Niu et al [ 29 ] proposed a security mechanism for the personal data market, which achieves authenticity and privacy protection by using homomorphic encryption and identity-based signatures.…”

Section: Related Workmentioning

confidence: 99%

Distributed Supervision Model for Enterprise Data Asset Trading Based on Blockchain Multi-Channel in Industry Alliance

Zhang

Guo

Ding

et al. 2022

Sensors

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Compared with traditional physical commodities, data are intangible and easy to leak, and the related trading process has problems, such as complex participating roles, lengthy information flow, poor supervisory coverage and difficult information traceability. To handle these problems, we construct a distributed supervision model for data trading based on blockchain, and conduct multi-party hierarchical and multi-dimensional supervision of the whole process of data trading through collaborative supervision before the event, at present and after the event. First, the characteristics of information flow in the data trading process are analyzed, and the main subject and key supervision information in the data trading process are sorted out and refined. Secondly, combined with the actual business process of data trading supervision, a multi-channel structure of distributed supervision is proposed by adopting an access–verification–traceability strategy. Finally, under the logical framework of the supervision model, the on-chain hierarchical structure and the data hybrid storage method of “on-chain + off-chain” are designed, and multi-supervisor-oriented hierarchical supervision and post-event traceability are realized through smart contracts. The results show that the constructed blockchain-based distributed supervision model of data trading can effectively isolate and protect sensitive and private information between data trading, so as to realize the whole process, multi-subject and differentiated supervision of key information of data trading, and provide an effective and feasible method for the controllable and safe supervision of data trading.

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“…Omar DIB et al [26] explored the novel data exploitation framework (NDEF) based on blockchain technologies. These intelligent devices constantly produce vast quantities of data, which can be of use to many utilities.…”

Section: Literature Review Based On Data Securitymentioning

confidence: 99%

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Jalasri

Lakshmanan

2021

Complex Intell. Syst.

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Fog computing and the Internet of Things (IoT) played a crucial role in storing data in the third-party server. Fog computing provides various resources to collect data by managing data security. However, intermediate attacks and data sharing create enormous security challenges like data privacy, confidentiality, authentication, and integrity issues. Various researchers introduce several cryptographic techniques; security is still significant while sharing data in the distributed environment. Therefore, in this paper, Code-Based Encryption with the Energy Consumption Routing Protocol (CBE-ECR) has been proposed for managing data security and data transmission protocols using keyed-hash message authentication. Initially, the data have been analyzed, and the distributed cluster head is selected, and the stochastically distributed energy clustering protocol is utilized for making the data transmission. Code-driven cryptography relies on the severity of code theory issues such as disorder demodulation and vibration required to learn equivalence. These crypto-systems are based on error codes to build a single-way function. The encryption technique minimizes intermediate attacks, and the data have protected all means of transmission. In addition to data security management, the introduced CBE-ECR reduces unauthorized access and manages the network lifetime successfully, leading to the effective data management of 96.17% and less energy consumption of 21.11% than other popular methods.The effectiveness of the system is compared to the traditional clustering techniques.

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A novel data exploitation framework based on blockchain

Cited by 17 publications

References 7 publications

Hyperledger for IoT: A Review of Reconstruction Diagrams Perspective

Hyperledger for IoT: A Review of Reconstruction Diagrams Perspective

Distributed Supervision Model for Enterprise Data Asset Trading Based on Blockchain Multi-Channel in Industry Alliance

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

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