A Blockchain-Based Privacy Information Security Sharing Scheme in Industrial Internet of Things

Wang, Yue; Che, Tingyu; Zhao, Xiaohu; Zhou, Tao; Zhang, Kai; Hu, Xiaofei

doi:10.3390/s22093426

Cited by 11 publications

(9 citation statements)

References 28 publications

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“…Industrial control system even has some general shortcomings, and repair requires a lot of human and material resources. Second, there are more and more attacks on industrial control networks [2]. Stuxnet is a very representative term in industrial history.…”

Section: Introductionmentioning

confidence: 99%

Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

et al. 2022

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Industrial information security is an important part of the national security strategy that affects the economy and people’s lives. With the rapid development of automation and information technology, common protocols and common hardware and software based on information technology are increasingly used in industrial information control system products and are widely used in industries such as energy, metallurgy, water resource management, chemical, and production. Attacks on critical industrial information can not only cause accidents, losses, and local production pollution but also disrupt the balance of supply and demand of raw materials in the area covered by the system. Therefore, it is of great theoretical and practical importance to study industrial information security as an important measure to ensure the stable operation of the system. In this paper, we analyze the main industrial structure characteristics, external environment, and security requirements and propose a monitoring and warning platform architecture with cryptographic antitheft technology system based on hierarchical modeling and closed-loop control. It can prevent the spread of the attack and reduce its negative impact.

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Section: Introductionmentioning

confidence: 99%

Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

et al. 2022

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“…Although computationally inadequate, it protects the confidentiality of personal data. Wang et al proposed an IIoT privacy solution in [27]. This framework uses blockchain technology to record transactions securely and safeguard sensitive data during transmission.…”

Section: A Security Protocols For Secure Data Sharingmentioning

confidence: 99%

Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing

Sohail,

Anjum,

Saeed

et al. 2024

IEEE Access

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Connecting smart industrial components to computer networks revolutionizes business operations. However, in the Industrial Internet of Things (IIoT), the sharing of data has bandwidth, computational, and privacy issues. Researchers presented cloud computing and fine-grained access control to overcome these challenges. However, traditional centralized computing systems involve single points of failure. To mitigate these challenges, we have proposed a secure and incentive-based data-sharing framework for IIoT systems using blockchain technology. We leverage blockchain due to its ability to provide secure and tamper-resistant data storage and sharing as participants store their data on a distributed ledger (DL), preventing unauthorized access. A security protocol is designed that utilizes the properties of elliptic curve cryptography (ECC). Moreover, Shapley value is employed to calculate revenue and distribute it fairly. To perform the formal security evaluation, we have conducted extensive simulations using the Automated Validation of Internet Security Protocols and Applications (AVISPA) and Scyther protocol simulation tools, which demonstrated that our protocol is robust against various adversarial attacks. The experimental results show that the proposed incentive distribution framework demonstrated fairness in the distribution of revenue among participants.

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“…Differential privacy adds noise to the data before sharing it with the nodes, which makes it difficult for malicious nodes to identify the data of a specific node. Other approaches include blockchainbased [42,43] privacy information security sharing schemes. Overall, it is important to balance the benefits of the proposed model's resource optimization with the potential privacy risks, ensuring that adequate measures are in place to protect sensitive data and respect the users' privacy rights.…”

Section: Model Challenges and Feasible Solutions (A) Security And Pri...mentioning

confidence: 99%

Resource-Aware Federated Hybrid Profiling for Edge Node Selection in Federated Patient Similarity Network

Navaz,

Kassabi,

Serhani

et al. 2023

Applied Sciences

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The widespread adoption of edge computing for resource-constrained devices presents challenges in computational straggler issues, primarily due to the heterogeneity of edge node resources. This research addresses these issues by introducing a novel resource-aware federated hybrid profiling approach. This approach involves classifying edge node resources with relevant performance metrics and leveraging their capabilities to optimize performance and improve Quality of Service (QoS), particularly in real-time eHealth applications. Such paradigms include Federated Patient Similarity Network (FPSN) models that distribute processing at each edge node and fuse the built PSN matrices in the cloud, presenting a unique challenge in terms of optimizing training and inference times, while ensuring efficient and timely updates at the edge nodes. To address this concern, we propose a resource-aware federated hybrid profiling approach that measures the available static and dynamic resources of the edge nodes. By selecting nodes with the appropriate resources, we aim to optimize the FPSN to ensure the highest possible Quality of Service (QoS) for its users. We conducted experiments using edge performance metrics, i.e., accuracy, training convergence, memory and disk usage, execution time, and network statistics. These experiments uniquely demonstrate our work’s contribution to optimizing resource allocation and enhancing the performance of eHealth applications in real-time contexts using edge computing.

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A Blockchain-Based Privacy Information Security Sharing Scheme in Industrial Internet of Things

Cited by 11 publications

References 28 publications

Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing

Resource-Aware Federated Hybrid Profiling for Edge Node Selection in Federated Patient Similarity Network

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