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C-NEST: cloudlet based privacy preserving multidimensional data stream approach for healthcare electronics.

Srivastava, Gautam; Mekala, M.S.; Hajar, Muhammad Shadi; Kalutarage, Harsha

Authors

Gautam Srivastava



Abstract

The Medical Internet of Things (MIoT) facilitates extensive connections between cyber and physical "things" allowing for effective data fusion and remote patient diagnosis and monitoring. However, there is a risk of incorrect diagnosis when data is tampered with from the cloud or a hospital due to third-party storage services. Most of the existing systems use an owner-centric data integrity verification mechanism, which is not computationally feasible for lightweight wearable-sensor systems because of limited computing capacity and privacy leakage issues. In this regard, we design a 2-step Privacy-Preserving Multidimensional Data Stream (PPMDS) approach based on a cloudlet framework with an Uncertain Data-integrity Optimization (UDO) model and Sparse-Centric SVM (SCS) model. The UDO model enhances health data security with an adaptive cryptosystem called Cloudlet-Nonsquare Encryption Secret Transmission (C-NEST) strategy by avoiding medical disputes during data streaming based on novel signature and key generation strategies. The SCS model effectively classifies incoming queries for easy access to data by solving scalability issues. The cloudlet server measures data integrity and authentication factors to optimize third-party verification burden and computational cost. The simulation outcomes show that the proposed system optimizes average data leakage error rate by 27%, query response time and average data transmission time are reduced by 31%, and average communication-computation cost are reduced by 61% when measured against state-of-the-art approaches.

Citation

SRIVASTAVA, G., MEKALA, M.S., HAJAR, M.S. and KALUTARAGE, H. 2023. C-NEST: cloudlet based privacy preserving multidimensional data stream approach for healthcare electronics. IEEE transactions on consumer electronics [online], Early Access. Available from: https://doi.org/10.1109/TCE.2023.3342635

Journal Article Type Article
Acceptance Date Dec 2, 2023
Online Publication Date Dec 13, 2023
Deposit Date Dec 15, 2023
Publicly Available Date Dec 18, 2023
Journal IEEE Transactions on Consumer Electronics
Print ISSN 0098-3063
Electronic ISSN 1558-4127
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/tce.2023.3342635
Keywords Cloudlet; C-NEST; UDO model; data-integrity measurement index; SCS model
Public URL https://rgu-repository.worktribe.com/output/2174625

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SRIVASTAVA 2023 C-NEST cloudlet (AAM) (574 Kb)
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.




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