Efficient Privacy-Friendly and Flexible IoT Data Aggregation with User-Centric Access Control

Jastaniah, Khlood; Zhang, Ning; Mustafa, Mustafa

doi:10.48550/arxiv.2203.00465

Cited by 2 publications

(8 citation statements)

References 25 publications

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“…This paper builds on the same preliminaries of the previous work [29] to expand its capabilities and enable secure multiplication and division operations.…”

Section: Preliminariesmentioning

confidence: 99%

“…The system model consists of the entities shown in Fig. 2, following the same system model in [29]. Wearables measure and collect personal data (e.g., vital signs) of DOs, and transmit it to a synchronised smartphone (gateway).…”

Section: A System Modelmentioning

confidence: 99%

“…However, since HE schemes do not support sharing with multiple DRs, the DRs-DO and DRs-DOs scenarios cannot be supported. The SAMA scheme [29] (our prior work) integrates multi-key PHE and ABE to support privacy-preserving and flexible data aggregation scheme with fine-grain sharing capability in all three scenarios. However, it only supports the aggregation operation, omitting the multiplication and division operations which are core operations in many machine learning tasks.…”

Section: Introductionmentioning

confidence: 99%

“…To address this research gap, we expand upon SAMA [29] by integrating multiplication and division computations into flexible and privacy-preserving data-sharing schemes called SAMM and SAMD, respectively. These schemes combine multi-key PHE with CP-ABE, offering flexible privacypreserving data processing and fine-grain sharing with a focus on user-centric access control while also being suitable for resource-constrained devices.…”

Section: Introductionmentioning

confidence: 99%

“…• We first extend SAMA [29] by proposing two novel schemes, named SAMM and SAMD, to support the multiplication and division operations over encrypted data, respectively. The schemes combine multi-key PHE and CP-ABE to facilitate flexible data processing with fine-grain sharing capabilities.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Privacy-Friendly and Flexible Wearable Data Processing With User-Centric Access Control

Jastaniah,

Zhang,

Mustafa

2024

IEEE Access

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With the advent of cloud computing and the vast amount of data produced by IoT wearable devices, outsourcing computation has become a widespread practice in providing health services to individuals and society. Conventional approaches typically focus on either secure data processing or fine-grain access control. Nevertheless, only a limited number of existing solutions consider secure finegrain access control over the encrypted computational results. Notably, these solutions overlook data owners' access control. In addition, they almost exclusively focus on data aggregation operations, neglecting multiplication and division operations on encrypted data, which are fundamental operations with significant importance in various application scenarios. In this paper, we present efficient and privacy-preserving schemes for multiplication and division operations with fine-grain data-sharing and user-centric access control capabilities, called SAMM and SAMD, respectively. We utilise a multi-key Paillier homomorphic cryptosystem to allow privacy-preserving computation of data from both single and multiple data owners. Additionally, we integrate ciphertext-policy attribute-based encryption to enable fine-grain sharing with multiple data requesters based on user-centric access control. Through formal security analysis, we demonstrate that these schemes ensure data confidentiality and authorisation. Moreover, the computational cost and communication overhead of our proposed schemes are thoroughly analysed, and our experimental results indicate that these schemes outperform existing state-of-the-art solutions in terms of efficiency, making them well-suited for use in modern IoT wearable healthcare systems.

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“…This paper builds on the same preliminaries of the previous work [29] to expand its capabilities and enable secure multiplication and division operations.…”

Section: Preliminariesmentioning

confidence: 99%

Section: A System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Efficient Privacy-Friendly and Flexible Wearable Data Processing With User-Centric Access Control

Jastaniah,

Zhang,

Mustafa

2024

IEEE Access

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A Secure Data Sharing System for 6G Networks

Gao,

Li,

Feng

et al. 2023

IEEE Access

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The advent of 6G networks with their capabilities for massive communication and low latency presents opportunities for a more intelligent way of life. This paper proposes a secure, flexible, and decentralized data sharing approach, tailor-made for the complexities of 6G networks. Building upon a famous data sharing framework called Droplet, the proposed approach furnishes users with fine-grained access to time-series data, while maintaining low communication overhead and minimizing potential data leakage. We spotlight an underlying vulnerability within the Droplet scheme, prompting the development of an advanced scheme that amalgamates segmented dual-key regression technology and binary hash trees. Further, we devise an algorithm for a minimal key set to reduce communication overhead for data owners during the data sharing process, thereby enhancing the operational efficiency of our proposed scheme. Extensive simulations are executed to authenticate the successful realization of our design objectives through the proposed scheme. This research aims to address the pressing issues of data sharing in the context of 6G networks, providing insights and solutions for secure and flexible data management.grammatically correct.

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Efficient Privacy-Friendly and Flexible IoT Data Aggregation with User-Centric Access Control

Cited by 2 publications

References 25 publications

Efficient Privacy-Friendly and Flexible Wearable Data Processing With User-Centric Access Control

Efficient Privacy-Friendly and Flexible Wearable Data Processing With User-Centric Access Control

A Secure Data Sharing System for 6G Networks

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