RSPP: A reliable, searchable and privacy-preserving e-healthcare system for cloud-assisted body area networks

Yang, Lei; Zheng, Qingji; Fan, Xinxin

doi:10.1109/infocom.2017.8056954

Cited by 37 publications

(18 citation statements)

References 22 publications

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“…Yasnoff et al [44] proposed a e-healthcare storage framework to eliminate the potential for loss of an entire centralized dataset from a single intrusion while maintaining reasonable search performance. A reliable, searchable and privacypreserving e-healthcare system was proposed by Yang et al [41] based on searchable encryption [9], [16], [21], [47] to protect sensitive healthcare files on cloud storage and enable cloud server to search on the encrypted data under the control of patients. The notion of public-key encryption with keyword search (PEKS) was proposed by Boneh et al [8], who also gave the first PEKS construction for e-healthcare system in the public key environment.…”

Section: A Related Workmentioning

confidence: 99%

DSAS: A Secure Data Sharing and Authorized Searchable Framework for e-Healthcare System

Xue

2022

IEEE Access

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In e-healthcare system, an increasing number of patients enjoy high-quality medical services by sharing encrypted personal healthcare records (PHRs) with doctors or medical research institutions. However, one of the important issues is that the encrypted PHRs prevent effective search of information, resulting in the decrease of data usage. Another issue is that medical treatment process requires the doctor to be online all the time, which may be unaffordable for all doctors (e.g., to be absent under certain circumstances). In this paper, we design a new secure and practical proxy searchable re-encryption scheme, allowing medical service providers to achieve remote PHRs monitoring and research safely and efficiently. Through our scheme DSAS, (1) patients' healthcare records collected by the devices are encrypted before uploading to the cloud server ensuring privacy and confidentiality of PHRs; (2) only authorized doctors or research institutions have access to the PHRs; (3) Alice (doctor-in-charge) is able to delegate medical research and utilization to Bob (doctor-in-agent) or certain research institution through the cloud server, supporting minimizing information exposure to the cloud server. We formalize the security definition and prove the security of our scheme. Finally, performance evaluation shows the efficiency of our scheme.

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Section: A Related Workmentioning

confidence: 99%

DSAS: A Secure Data Sharing and Authorized Searchable Framework for e-Healthcare System

Xue

2022

IEEE Access

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“…Therefore, Yang et al proposed a reliable solution for the cloud-assisted body area network, which can search for data in the encrypted database without leaking sensitive data. This solution is a new DSSE system that, in addition to protecting privacy, also satisfies delegate verifiability, enabling patients and healthcare professionals to securely search and update encrypted data stored in the cloud and verify retrieved results [20].…”

Section: Related Workmentioning

confidence: 99%

Benchmarking Dynamic Searchable Symmetric Encryption Scheme for Cloud-Internet of Things Applications

Yu³

et al. 2020

IEEE Access

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Recently, the rapid development of Internet of things (IoT) has resulted in the generation of a considerable amount of data, which should be stored. Therefore, it is necessary to develop methods that can easily capture, save, and modify these data. The data generated using IoT contain private information; therefore sufficient security features should be incorporated to ensure that potential attackers cannot access the data. Researchers from various fields are attempting to achieve data security. One of the major challenges is that IoT is a paradigm of how each device in the Internet infrastructure is interconnected to a globally dynamic network. When searching in dynamic cloud-stored data, sensitive data can be easily leaked. IoT data storage and retrieval from untrusted cloud servers should be secure. Searchable symmetric encryption (SSE) is a vital technology in the field of cloud storage. SSE allows users to use keywords to search for data in an untrusted cloud server but the keywords and the data content are concealed from the server. However, an SSE database is seldom used by cloud operators because the data stored on the cloud server is often modified. The server cannot update the data without decryption because the data are encrypted by the user. Therefore, dynamic SSE (DSSE) has been developed in recent years to support the aforementioned requirements. Instead of decrypting the data stored by customers, DSSE adds or deletes encrypted data on the server. A number of DSSE systems based on linked list structures or blind storage (a new primitive) have been proposed. From the perspective of functionality, extensibility, and efficiency, these DSSE systems each have their own advantages and drawbacks. The most crucial aspect of a system that is used in the cloud industry is the trade-off between performance and security. Therefore, we compared the efficiency and security of multiple DSSE systems and identified their shortcomings to develop an improved system.

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“…In (Atzori et al, 2010), the authors have presented a conceptual design and a prototype implementation of a system based on IoT gateways, which aggregate health sensor data, and resolve privacy issues through digital certificates and PKI data encryption. (Yang et al, 2017) have proposed a reliable, searchable and privacy-preserving e-healthcare system, which takes advantage of emerging cloud storage and its infrastructure. It enables the healthcare service providers (HSPs) to realize remote patient monitoring in a secure, and regulatory compliant manner.…”

Section: Privacy In the Healthcarementioning

confidence: 99%

Context-aware pseudonymization and authorization model for IoT-based smart hospitals

Zemmoudj

Bermad

Omar

2018

J Ambient Intell Human Comput

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Smart hospital is a healthcare infrastructure that uses IoT technology. This intelligent space allows to collaborate a several health actors via their IoT devices. This coordination improves the quality and continuity of health services for better patient care. However, uncontrolled access to patient information can disrupt the smooth running of hospital services. In this paper, we aim to secure the information of patient exchanged and shared, using the privacy and access control based on the context. We develop two protocols, the first is a context-aware pseudonym service. It protects the patient's personal and health information in two smart space hospital and home. Furthermore, we prevent the disclosure of the patient's location during his hospital stay. The second is an authorization and delegation protocol based on trust, context and role. It oversees the actions and interactions of health body with the smart bracelet object of patient. Our protocol uses the context to generate a set of roles with their trust values. Only one role is activated if its trust value is greater than or equal to a trust threshold. A dynamic delegation mechanism is created to better manage the interactions between health bodies. We demonstrate through the practical analysis as well as generation time overhead, storage overhead and response time requirement the efficiency and robustness of our proposed protocols.

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RSPP: A reliable, searchable and privacy-preserving e-healthcare system for cloud-assisted body area networks

Cited by 37 publications

References 22 publications

DSAS: A Secure Data Sharing and Authorized Searchable Framework for e-Healthcare System

DSAS: A Secure Data Sharing and Authorized Searchable Framework for e-Healthcare System

Benchmarking Dynamic Searchable Symmetric Encryption Scheme for Cloud-Internet of Things Applications

Context-aware pseudonymization and authorization model for IoT-based smart hospitals

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