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Journal ArticleDOI

Flexible and Fine-Grained Attribute-Based Data Storage in Cloud Computing

TLDR
This article provides a ciphertext-policy attribute based encryption (CP-ABE) scheme with efficient user revocation for cloud storage system that can withstand collusion attack performed by revoked users cooperating with existing users and proves the security of the scheme under the divisible computation Diffie-Hellman assumption.
Abstract
With the development of cloud computing, outsourcing data to cloud server attracts lots of attentions. To guarantee the security and achieve flexibly fine-grained file access control, attribute based encryption (ABE) was proposed and used in cloud storage system. However, user revocation is the primary issue in ABE schemes. In this article, we provide a ciphertext-policy attribute based encryption (CP-ABE) scheme with efficient user revocation for cloud storage system. The issue of user revocation can be solved efficiently by introducing the concept of user group. When any user leaves, the group manager will update users’ private keys except for those who have been revoked. Additionally, CP-ABE scheme has heavy computation cost, as it grows linearly with the complexity for the access structure. To reduce the computation cost, we outsource high computation load to cloud service providers without leaking file content and secret keys. Notably, our scheme can withstand collusion attack performed by revoked users cooperating with existing users. We prove the security of our scheme under the divisible computation Diffie-Hellman assumption. The result of our experiment shows computation cost for local devices is relatively low and can be constant. Our scheme is suitable for resource constrained devices.

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Citations
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Journal ArticleDOI

An Optimized Integrated Framework of Big Data Analytics Managing Security and Privacy in Healthcare Data

TL;DR: A novel framework which can integrate the big data with privacy and security concerns and determine knowledgably patterns for future decision making is designed and implemented using unsupervised learning technique in STATA and MATLAB 7.1 to develop patterns for knowledge discovery process.
Journal ArticleDOI

Collaborative Ehealth Privacy and Security: An Access Control With Attribute Revocation Based on OBDD Access Structure

TL;DR: This article proposes a novel expressive, efficient and collusion-resistant access control scheme with immediate attribute/user revocation for secure sharing of health data in collaborative ehealth systems and it binds the user keys to the user identities.
Journal ArticleDOI

Privacy Provision in Collaborative Ehealth With Attribute-Based Encryption: Survey, Challenges and Future Directions

TL;DR: This paper surveys the different attribute-based encryption schemes for usage in collaborative eHealth and performs a comparative analysis of the surveyed schemes in terms of security, revocation ability, and efficiency.
Journal ArticleDOI

MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation

TL;DR: A multitasking distributed differential evolution algorithm with perturbation-based mutation operator with adaptive mutation strategy selection is designed to sufficiently exchange evolutionary information in the solutions, which can help exchange generic and effective allocation information among different database fragmentation problems.
Journal ArticleDOI

Updatable Ciphertext-Policy Attribute-Based Encryption Scheme With Traceability and Revocability

TL;DR: This work proposes a novel updatable CP-ABE scheme supporting white-box traceability and traitor revocation, which is more efficient, and can achieve valid revocation and ciphertext update.
References
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Journal ArticleDOI

Identity-Based Encryption from the Weil Pairing

TL;DR: This work proposes a fully functional identity-based encryption (IBE) scheme based on bilinear maps between groups and gives precise definitions for secure IBE schemes and gives several applications for such systems.
Proceedings ArticleDOI

Ciphertext-Policy Attribute-Based Encryption

TL;DR: A system for realizing complex access control on encrypted data that is conceptually closer to traditional access control methods such as role-based access control (RBAC) and secure against collusion attacks is presented.
Proceedings ArticleDOI

Attribute-based encryption for fine-grained access control of encrypted data

TL;DR: This work develops a new cryptosystem for fine-grained sharing of encrypted data that is compatible with Hierarchical Identity-Based Encryption (HIBE), and demonstrates the applicability of the construction to sharing of audit-log information and broadcast encryption.
Book ChapterDOI

Fuzzy identity-based encryption

TL;DR: In this article, a new type of identity-based encryption called Fuzzy Identity-Based Encryption (IBE) was introduced, where an identity is viewed as set of descriptive attributes, and a private key for an identity can decrypt a ciphertext encrypted with an identity if and only if the identities are close to each other as measured by the set overlap distance metric.
Posted Content

Fuzzy Identity Based Encryption.

TL;DR: In this paper, a new type of identity-based encryption called Fuzzy Identity-Based Encryption (IBE) was introduced, where an identity is viewed as set of descriptive attributes, and a private key for an identity can decrypt a ciphertext encrypted with an identity if and only if the identities are close to each other as measured by the set overlap distance metric.
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