Flexible CP-ABE Based Access Control on Encrypted Data for Mobile Users in Hybrid Cloud System

2017 ◽  
Vol 32 (5) ◽  
pp. 974-990 ◽  
Author(s):  
Wen-Min Li ◽  
Xue-Lei Li ◽  
Qiao-Yan Wen ◽  
Shuo Zhang ◽  
Hua Zhang
2008 ◽  
Vol 10 (4) ◽  
pp. 1-37 ◽  
Author(s):  
Luc Bouganim ◽  
Francois Dang Ngoc ◽  
Philippe Pucheral

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771984605 ◽  
Author(s):  
Tehsin Kanwal ◽  
Ather Abdul Jabbar ◽  
Adeel Anjum ◽  
Saif UR Malik ◽  
Abid Khan ◽  
...  

State-of-the-art progress in cloud computing encouraged the healthcare organizations to outsource the management of electronic health records to cloud service providers using hybrid cloud. A hybrid cloud is an infrastructure consisting of a private cloud (managed by the organization) and a public cloud (managed by the cloud service provider). The use of hybrid cloud enables electronic health records to be exchanged between medical institutions and supports multipurpose usage of electronic health records. Along with the benefits, cloud-based electronic health records also raise the problems of security and privacy specifically in terms of electronic health records access. A comprehensive and exploratory analysis of privacy-preserving solutions revealed that most current systems do not support fine-grained access control or consider additional factors such as privacy preservation and relationship semantics. In this article, we investigated the need of a privacy-aware fine-grained access control model for the hybrid cloud. We propose a privacy-aware relationship semantics–based XACML access control model that performs hybrid relationship and attribute-based access control using extensible access control markup language. The proposed approach supports fine-grained relation-based access control with state-of-the-art privacy mechanism named Anatomy for enhanced multipurpose electronic health records usage. The proposed (privacy-aware relationship semantics–based XACML access control model) model provides and maintains an efficient privacy versus utility trade-off. We formally verify the proposed model (privacy-aware relationship semantics–based XACML access control model) and implemented to check its effectiveness in terms of privacy-aware electronic health records access and multipurpose utilization. Experimental results show that in the proposed (privacy-aware relationship semantics–based XACML access control model) model, access policies based on relationships and electronic health records anonymization can perform well in terms of access policy response time and space storage.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 210462-210477
Author(s):  
Alexandros Bakas ◽  
Hai-Van Dang ◽  
Antonis Michalas ◽  
Alexandr Zalitko

2020 ◽  
Author(s):  
Zhen Liu ◽  
Qiong Huang ◽  
Duncan S Wong

Abstract Attribute-based encryption (ABE) is a versatile one-to-many encryption primitive, which enables fine-grained access control over encrypted data. Due to its promising applications in practice, ABE schemes with high efficiency, security and expressivity have been continuously emerging. On the other hand, due to the nature of ABE, a malicious user may abuse its decryption privilege. Therefore, being able to identify such a malicious user is crucial towards the practicality of ABE. Although some specific ABE schemes in the literature enjoys the tracing function, they are only proceeded case by case. Most of the ABE schemes do not support traceability. It is thus meaningful and important to have a generic way of equipping any ABE scheme with traceability. In this work, we partially solve the aforementioned problem. Namely, we propose a way of transforming (non-traceable) ABE schemes satisfying certain requirements to fully collusion-resistant black-box traceable ABE schemes, which adds only $O(\sqrt{\mathcal{K}})$ elements to the ciphertext where ${\mathcal{K}}$ is the number of users in the system. And to demonstrate the practicability of our transformation, we show how to convert a couple of existing non-traceable ABE schemes to support traceability.


2017 ◽  
Vol 2017 (13) ◽  
pp. 2203-2206 ◽  
Author(s):  
Daohua Zhu ◽  
Yajuan Guo ◽  
Jinming Chen ◽  
Yan Li ◽  
Haitao Jiang

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