Permissioned Blockchain and Deep Learning for Secure and Efficient Data Sharing in Industrial Healthcare Systems Article Swipe
Randhir Kumar
,
Prabhat Kumar
,
Rakesh Tripathi
,
Govind P. Gupta
,
A.K.M. Najmul Islam
,
Mohammad Shorfuzzaman
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/tii.2022.3161631
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/tii.2022.3161631
The industrial healthcare system has enabled the possibility of realizing advanced real-time monitoring of patients and enriched the quality of medical services through data sharing among intelligent wearable devices and sensors. However, this connectivity brings the intrinsic vulnerabilities related to security and privacy due to the need of continuous communication and monitoring over public network (insecure channel). Motivated from the aforementioned discussions, we integrate Permissioned Blockchain and smart contract with Deep Learning (DL) techniques to design a novel secure and efficient \ndata sharing framework named PBDL. Specifically, PBDL first has a blockchain scheme to register, verify (using zero-knowledge proof) and validate the communicating entities using smart contract-based consensus mechanism. Second, the authenticated data is used to propose a novel DL scheme that combines Stacked Sparse Variational AutoEncoder (SSVAE) with Self-Attentionbased Bidirectional Long Short Term Memory (SA-BiLSTM). In this scheme, SSVAE encodes or transforms the healthcare data into new format and SA-BiLSTM identifies and improves attack detection process. The security analysis and experimental results using IoT-Botnet and ToN-IoT datasets confirms the superiority of PBDL framework over existing state-of-the-art techniques.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tii.2022.3161631
- OA Status
- green
- Cited By
- 161
- References
- 35
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4220792723Canonical identifier for this work in OpenAlex
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https://doi.org/10.1109/tii.2022.3161631Digital Object Identifier
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Permissioned Blockchain and Deep Learning for Secure and Efficient Data Sharing in Industrial Healthcare SystemsWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2022Year of publication
- Publication date
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2022-03-23Full publication date if available
- Authors
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Randhir Kumar, Prabhat Kumar, Rakesh Tripathi, Govind P. Gupta, A.K.M. Najmul Islam, Mohammad ShorfuzzamanList of authors in order
- Landing page
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https://doi.org/10.1109/tii.2022.3161631Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://lutpub.lut.fi/handle/10024/163948Direct OA link when available
- Concepts
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Computer science, Blockchain, Autoencoder, Data sharing, Scheme (mathematics), Deep learning, Wearable computer, Process (computing), Computer security, Artificial intelligence, Embedded system, Mathematics, Medicine, Mathematical analysis, Operating system, Pathology, Alternative medicineTop concepts (fields/topics) attached by OpenAlex
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161Total citation count in OpenAlex
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2025: 40, 2024: 56, 2023: 55, 2022: 10Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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