Securing Personal Health Record System in Cloud Using User Usage Based Encryption

Suresh, Dhina; Florence, M. Lilly

doi:10.1007/s10916-019-1301-x

Cited by 9 publications

(9 citation statements)

References 8 publications

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“…ABE has been employed in healthcare domain to address concerns relating to resource constrained client [5], doctor centric access control [6] and searchable trapdoor for hospital data [8,9] as seen from Table 1. However, existing schemes failed to grant patients with user-centric access control and policy update features as seen from Table 1.…”

Section: Related Workmentioning

confidence: 99%

“…In existing healthcare access control schemes [5][6][7][8][9], CP-ABE generates the same data for all users due to the fact that against every message a single ciphertext is generated and all the authorized users can have access to that same data. To elaborate, users satisfying individual attribute sets of a monotonic access policy in CP-ABE have access to the same data.…”

Section: Introductionmentioning

confidence: 99%

“…More details regarding hierarchical keys derivation is presented Section 6.1. Another limitation of existing healthcare schemes [5][6][7][8][9] is their nature as they are based on single attribute authority, however, in real life attributes can be from multiple stakeholders belonging to different authority domains like hospitals, and universities.…”

Section: Introductionmentioning

confidence: 99%

“…We remark that in the existing health-centric schemes [5][6][7][8][9], the policies are static and predefined. Due to the absence of a policy update feature, CP-ABE cannot be considered as a complete access control enforcement tool.…”

Section: Introductionmentioning

confidence: 99%

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Granular Data Access Control with a Patient-Centric Policy Update for Healthcare

Khan

Tahir

et al. 2021

Sensors

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Healthcare is a multi-actor environment that requires independent actors to have a different view of the same data, hence leading to different access rights. Ciphertext Policy-Attribute-based Encryption (CP-ABE) provides a one-to-many access control mechanism by defining an attribute’s policy over ciphertext. Although, all users satisfying the policy are given access to the same data, this limits its usage in the provision of hierarchical access control and in situations where different users/actors need to have granular access of the data. Moreover, most of the existing CP-ABE schemes either provide static access control or in certain cases the policy update is computationally intensive involving all non-revoked users to actively participate. Aiming to tackle both the challenges, this paper proposes a patient-centric multi message CP-ABE scheme with efficient policy update. Firstly, a general overview of the system architecture implementing the proposed access control mechanism is presented. Thereafter, for enforcing access control a concrete cryptographic construction is proposed and implemented/tested over the physiological data gathered from a healthcare sensor: shimmer sensor. The experiment results reveal that the proposed construction has constant computational cost in both encryption and decryption operations and generates constant size ciphertext for both the original policy and its update parameters. Moreover, the scheme is proven to be selectively secure in the random oracle model under the q-Bilinear Diffie Hellman Exponent (q-BDHE) assumption. Performance analysis of the scheme depicts promising results for practical real-world healthcare applications.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Granular Data Access Control with a Patient-Centric Policy Update for Healthcare

Khan

Tahir

et al. 2021

Sensors

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“…Dhina Suresh [28] proposed a framework for protecting the confidential information of patient which is stored in electronic health records by using ECC cryptographic algorithm.…”

Section: Related Workmentioning

confidence: 99%

A survey on health care data using Machine learning Algorithms

Manjulatha¹,

Pabboju²

2020

Preprint

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Big data in the healthcare has been growing rapidly in recent years. A massive amount of patient’s data is generated through various sources in this digitalized environment including wearable devices, mobile devices, electronic health records and medical centres. The medical data, which are exploding exponentially includes a large volume of structured and unstructured data. Patients information is shared and managed by many sources such as insurance, in the form of prescription, healthcare providers including the attackers which causes a severe security threats their confidential data. Cybercriminals use a variety of social engineering attacks like phishing, leakage of data, embedding virus and trojan horse into the attachments, DNS snooping, sniffing, and many more. In this paper a brief overview is done on different data mining and security techniques which are implemented in healthcare data. The study and its presentation in this context would be helpful in not only analysing but also predicting chronic diseases depending upon the available stored data which has been collected from various sources in the area of medical expert system.

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An optimized novel public cloud system to secure the medical record from third parties

Singh

Jha

2022

Concurrency and Computation

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Nowadays, modern technologies are growing rapidly by advancing their application day by day. Moreover, the Internet of Things (IoT) is well utilized in many applications for sensing and information gathering purposes. Considering this, medical applications have used the advances of IoT facilities in sensing the disease rate in humans. After sensing, the sensed data is stored in the cloud system, so securing the cloud system is the more required task to maintain the privacy of the patient's data. But, in front of malicious activities, securing the data is not easy. So, the present research has proposed a novel African buffalo‐based International Data Encryption (ABIDE) public cloud system to secure the medical database during the data transmission. The developed technique is utilized in a public cloud system. The main objective of this research is to secure medical data during transmission. Moreover, the implementation of the proposed ABIDE algorithm is done in the MATLAB environment. Consequently, the performance of the developed technique is compared with existing methods in terms of resource usage, encryption time, decryption time and so forth. Therefore, the proposed model has attained the finest confidential rate of 98.98%, throughput 97.86% and less processing time of 4 ms.

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Securing Personal Health Record System in Cloud Using User Usage Based Encryption

Cited by 9 publications

References 8 publications

Granular Data Access Control with a Patient-Centric Policy Update for Healthcare

Granular Data Access Control with a Patient-Centric Policy Update for Healthcare

A survey on health care data using Machine learning Algorithms

An optimized novel public cloud system to secure the medical record from third parties

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