Efficient Fine-Grained Data Sharing Mechanism for Electronic Medical Record Systems with Mobile Devices

Ma, Hui; Zhang, Rui; Yang, Guomin; Song, Zishuai; He, Kai; Xiao, Yuting

doi:10.1109/tdsc.2018.2844814

Cited by 38 publications

(6 citation statements)

References 31 publications

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“…Hohenberger and Waters [19] developed new "connect and correct" techniques for ABE that split the computation for key generation and encryption into two phases: a preparation phase that does the vast majority of the work to generate a secret key or encrypt a message, and a second phase can then rapidly assemble an ABE secret key or ciphertext when the specifics become known. Subsequently, based on this concept, Ma et al proposed an online/offline ABE with cryptographic reverse firewalls [20], a ciphertextpolicy attribute-based proxy re-encryption (CP-AB-PRE) [21], and efficient CP-ABE [22,23] with outsourced computation for various applications.…”

Section: Related Work 1dual-policy Abementioning

confidence: 99%

Enhanced Dual-Policy Attribute-Based Encryption for Secure Data Sharing in the Cloud

Wang

Zhou

et al. 2022

Security and Communication Networks

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As a promising service paradigm, cloud computing has attracted lots of enterprises and individuals to outsource big data to public cloud. To facilitate secure data using and sharing, dual-policy attribute-based encryption (DP-ABE) is a suitable solution. It allows two access control mechanisms over encrypted data at the same time: one involves access policies over subjective attributes ascribed to user credentials, and the other involves policies over objective attributes ascribed to data. In this work, we are exploring methods to make DP-ABE more flexible, more efficient, and more secure for deployments in cloud scenes. Our proposal features the following achievements simultaneously: (1) beyond the access control mechanisms of DP-ABE, it also supports two flexible features called encryption and key generation in single-policy modes; (2) most operations of key generation, encryption, and decryption are securely outsourced to cloud servers, leaving extremely low overheads for the PKG, data owners, and users; and (3) it realizes the strongest security notion of public-key encryption schemes, namely, CCA security. We formalize the security definition and formally prove its security in the random oracle model. Moreover, we implement the proposed schemes using the Charm framework. The experiment results demonstrate that our schemes are efficient and practical.

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Section: Related Work 1dual-policy Abementioning

confidence: 99%

Enhanced Dual-Policy Attribute-Based Encryption for Secure Data Sharing in the Cloud

Wang

Zhou

et al. 2022

Security and Communication Networks

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“…However, it can't be directly applied in EMR sharing systems as it didn't consider the large volume of EMR. In order to realize data sharing with flexibility and efficient authority delegation for EMR system, Zhang et al 21 proposed a new access control model with ABE by utilizing the powerful computation capability of cloud. However, this model brought extra communication overhead for the system.…”

Section: Related Workmentioning

confidence: 99%

Lightweight and fine‐grained access control for cloud–fog‐based electronic medical record sharing systems

Zhang

Wang

Zhu

et al. 2021

Int J Communication

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Summary The electronic medical record (EMR) sharing systems promote medical services' efficiency, save human resources, and reduce energy consumption. A number of patients are ready to store their medical records in cloud. Nevertheless, owing to the medical record's privacy sensitivity, security problems are of critical importance in EMR sharing systems. This work presents a lightweight and fine‐grained access control with data security for EMR sharing by combining fog and cloud using symmetric encryption algorithm and attribute‐based encryption algorithm. Data owners encrypt the medical records with symmetric encryption and store them in cloud. The symmetric key is protected by ciphertext‐policy attribute‐based encryption and stored in fog. The keyword extracted from medical record is encrypted by data owner with key‐policy attribute‐based keyword search encryption and sent to fog. The requesters who satisfy with the keyword ciphertext's access policy can search for the keyword. They are capable of accessing the symmetric key if their attributes satisfy with the symmetric key ciphertext's access policy. The key management method and access control scheme guarantee the medical record's security and privacy. Security analysis demonstrates that our work is able to achieve privacy protection, secure search, fine‐grained access control, and collusion resistance.

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“…This issue has been documented in previous research. 52 Figure 1 depicts the verification process utilizing cryptographic techniques. There exist numerous techniques to safeguard data from interception during communication or local data exchange.…”

Section: Sadavarte Andmentioning

confidence: 99%

Spectral Numerical Study of Entropy Generation in Magneto-Convective Viscoelastic Biofluid Flow Through Poro-Elastic Media With Thermal Radiation and Buoyancy Effects

Mallikarjuna¹,

Srinivas

Krishna³

et al. 2021

Journal of Thermal Science and Engineering Applications

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Electromagnetic high-temperature therapy is popular in medical engineering treatments for various diseases include tissue damage ablation repair, hyperthermia and oncological illness diagnosis. The simulation of transport phenomena in such applications requires multi-physical models featuring magnetohydrodynamics, biorheology, heat transfer and deformable porous media. Motivated by investigating the fluid dynamics and thermodynamic optimization of such processes, in the present article a mathematical model is developed to study the combined influence of thermal buoyancy, magnetic field and thermal radiation on the fluid and heat characteristics in electrically-conducting viscoelastic biofluid flow through a vertical deformable porous medium. Jefferys elastic-viscous model is deployed to simulate non-Newtonian characteristics of the biofluid. It is assumed that heat is generated within the fluid by both viscous and Darcy (porous matrix) dissipations. The boundary value problem is normalized with appropriate transformations. The non-dimensional biofluid velocity, solid displacement and temperature equations with appropriate boundary conditions are solved computationally using a spectral method. Verification of accuracy is conducted via monitoring residuals of the solutions and Validated with shooting technique is included. The effects of Jeffrey viscoelastic parameter, viscous drag parameter, magnetic field parameter, radiation parameter and buoyancy parameter on flow velocity, solid displacement, temperature and entropy generation are depicted graphically and interpreted at length. Increasing magnetic field and drag parameters are found to reduce the field velocity, solid displacement, temperature and entropy production. Higher magnitudes of thermal radiation parameter retard the flow and decrease Nusselt number whereas they elevate solid displacement.

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Efficient Fine-Grained Data Sharing Mechanism for Electronic Medical Record Systems with Mobile Devices

Cited by 38 publications

References 31 publications

Enhanced Dual-Policy Attribute-Based Encryption for Secure Data Sharing in the Cloud

Enhanced Dual-Policy Attribute-Based Encryption for Secure Data Sharing in the Cloud

Lightweight and fine‐grained access control for cloud–fog‐based electronic medical record sharing systems

Spectral Numerical Study of Entropy Generation in Magneto-Convective Viscoelastic Biofluid Flow Through Poro-Elastic Media With Thermal Radiation and Buoyancy Effects

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