Secure Medical Architecture on the Cloud Using Wireless Sensor Networks for Emergency Management

Lounis, Ahmed; Hadjidj, Abdelkrim; Bouabdallah, Abdelmadjid; Challal, Yacine

doi:10.1109/bwcca.2013.142

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…Lounis et al [7] presented an architecture based on attribute-based encryption (ABE), as shown in Figure 5. Since emergency access is temporary, it is crucial to revoke access rights given.…”

Section: Access Controlmentioning

confidence: 99%

Security and Privacy in the Medical Internet of Things: A Review

Sun

Cai

et al. 2018

Security and Communication Networks

228

128

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Medical Internet of Things, also well known as MIoT, is playing a more and more important role in improving the health, safety, and care of billions of people after its showing up. Instead of going to the hospital for help, patients' health-related parameters can be monitored remotely, continuously, and in real time, then processed, and transferred to medical data center, such as cloud storage, which greatly increases the efficiency, convenience, and cost performance of healthcare. The amount of data handled by MIoT devices grows exponentially, which means higher exposure of sensitive data. The security and privacy of the data collected from MIoT devices, either during their transmission to a cloud or while stored in a cloud, are major unsolved concerns. This paper focuses on the security and privacy requirements related to data flow in MIoT. In addition, we make in-depth study on the existing solutions to security and privacy issues, together with the open challenges and research issues for future work.

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Section: Access Controlmentioning

confidence: 99%

Security and Privacy in the Medical Internet of Things: A Review

Sun

Cai

et al. 2018

Security and Communication Networks

228

128

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“…Literature in [1,2,[14][15][16] proposed outsourcing decryption strategies that assumed that the data storage center had sufficient computing power and enough energy. The user sends its transformed secret key to data center.…”

Section: Previous Workmentioning

confidence: 99%

“…With the rapid growth of networking and computing technology, outsourcing decryption [1] has become a reality. Security of outsourcing decrypted data in wireless sensor networks (WSNs) has received much attention in recent years [2]. Sensor nodes in WSN can be randomly deployed in various environments, such as military surveillance, target tracking, health care, real-time monitoring system, etc.…”

Section: Introductionmentioning

confidence: 99%

A group key‐policy attribute‐based encryption with partial outsourcing decryption in wireless sensor networks

Wang

et al. 2016

Security Comm Networks

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Outsourcing decryption that enables the authorized users to obtain the original data without decryption computation is crucially important for wireless sensor networks in public data center. The existing outsourcing decryption schemes have been designed based on key-policy attribute-based encryption. The security of outsourcing decryption cannot be guaranteed, because the data center is not loyal, and existing schemes have high computational complexity and energy consumption. In this work, a novel partially outsourcing decryption scheme is proposed to guarantee data security and computational efficiency for resource-constrained sensor nodes and terminal equipments. According to the attributes of cluster nodes in the proposed scheme, the encryption secret key is encrypted based on group key-policy attribute-based encryption and sent to data center, and authorized users who satisfy the attributes of the ciphertext can obtain the secret key to decrypt the ciphertext. Furthermore, in order to reduce the decryption overhead for users, the authorized users can simply decrypt the transformation ciphertext that is partially decrypted by the data center using token key. Compared with the previous decryption schemes, the proposed scheme efficiently decrypts ciphertext and enhances security of the data. The simulation results also indicate that the proposed scheme is efficient in terms of energy consumption and computation by comparing to previous work.

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“…There exists also a number of architectures that employ Attribute-Based encryption (ABE) scheme [14][15][16]19,27]. However, these approaches have several limitations.…”

Section: Existing Approachesmentioning

confidence: 99%

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

Dubovitskaya

Urovi

Vasirani

et al. 2015

ICT Systems Security and Privacy Protection

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Abstract. In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility and patients' privacy. The contribution of the paper is twofold: Firstly, we propose a secure and scalable cloud eHealth architecture to store and exchange patients' data for the treatment. Secondly, we present an algorithm for efficient aggregation of the health data for the research purposes from multiple sources independently.

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Secure Medical Architecture on the Cloud Using Wireless Sensor Networks for Emergency Management

Cited by 11 publications

References 10 publications

Security and Privacy in the Medical Internet of Things: A Review

Security and Privacy in the Medical Internet of Things: A Review

A group key‐policy attribute‐based encryption with partial outsourcing decryption in wireless sensor networks

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

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