scholarly journals Fine-Grained Ranked Multi-Keyword Search Over Hierarchical Data for IoT-Oriented Health System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 101969-101980 ◽  
Author(s):  
Jianfei Sun ◽  
Shengnan Hu ◽  
Xuyun Nie
Keyword(s):  
Health System ◽  
Keyword Search ◽  
Hierarchical Data ◽  
Fine Grained

Multi-Keyword Searchable Encryption for E-Health System With Multiple Data Writers and Readers

2022 ◽  
pp. 107-131
Author(s):  
Dhruti P. Sharma ◽  
Devesh C. Jinwala
Keyword(s):  
Health System ◽  
Keyword Search ◽  
Medical Data ◽  
Searchable Encryption ◽  
Multiple Stakeholders ◽  
Computational Overhead ◽  
Multiple Data ◽  
Data Owner ◽  
Share Data ◽  
Conjunctive Search

E-health is a cloud-based system to store and share medical data with the stakeholders. From a security perspective, the stored data are in encrypted form that could further be searched by the stakeholders through searchable encryption (SE). Practically, an e-health system with support of multiple stakeholders (that may work as either data owner [writer] or user [reader]) along with the provision of multi-keyword search is desirable. However, the existing SE schemes either support multi-keyword search in multi-reader setting or offer multi-writer, multi-reader mechanism along with single-keyword search only. This chapter proposes a multi-keyword SE for an e-health system in multi-writer multi-reader setting. With this scheme, any registered writer could share data with any registered reader with optimal storage-computational overhead on writer. The proposed scheme offers conjunctive search with optimal search complexity at server. It also ensures security to medical records and privacy of keywords. The theoretical and empirical analysis demonstrates the effectiveness of the proposed work.

scholarly journals A Lightweight Fine-Grained Search Scheme over Encrypted Data in Cloud-Assisted Wireless Body Area Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Mingsheng Cao ◽  
Luhan Wang ◽  
Zhiguang Qin ◽  
Chunwei Lou
Keyword(s):  
Keyword Search ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Security And Privacy ◽  
Body Area ◽  
Encrypted Data ◽  
Fine Grained ◽  
Resource Limited ◽  
Attribute Based Encryption ◽  
Ciphertext Policy

The wireless body area networks (WBANs) have emerged as a highly promising technology that allows patients’ demographics to be collected by tiny wearable and implantable sensors. These data can be used to analyze and diagnose to improve the healthcare quality of patients. However, security and privacy preserving of the collected data is a major challenge on resource-limited WBANs devices and the urgent need for fine-grained search and lightweight access. To resolve these issues, in this paper, we propose a lightweight fine-grained search over encrypted data in WBANs by employing ciphertext policy attribute based encryption and searchable encryption technologies, of which the proposed scheme can provide resource-constraint end users with fine-grained keyword search and lightweight access simultaneously. We also formally define its security and prove that it is secure against both chosen plaintext attack and chosen keyword attack. Finally, we make a performance evaluation to demonstrate that our scheme is much more efficient and practical than the other related schemes, which makes the scheme more suitable for the real-world applications.

Practical Attribute-Based Conjunctive Keyword Search Scheme

2019 ◽  
Vol 63 (8) ◽  
pp. 1203-1215 ◽  
Author(s):  
Yang Chen ◽  
Wenmin Li ◽  
Fei Gao ◽  
Kaitai Liang ◽  
Hua Zhang ◽  
...  
Keyword(s):  
Keyword Search ◽  
Inner Product ◽  
Real World Data ◽  
Data Set ◽  
Fine Grained ◽  
Keyword Guessing Attack ◽  
Secure Search ◽  
Data Owner ◽  
Cryptographic Primitive ◽  
Guessing Attack

Abstract To date cloud computing may provide considerable storage and computational power for cloud-based applications to support cryptographic operations. Due to this benefit, attribute-based keyword search (ABKS) is able to be implemented in cloud context in order to protect the search privacy of data owner/user. ABKS is a cryptographic primitive that can provide secure search services for users but also realize fine-grained access control over data. However, there have been two potential problems that prevent the scalability of ABKS applications. First of all, most of the existing ABKS schemes suffer from the outside keyword guessing attack (KGA). Second, match privacy should be considered while supporting multi-keyword search. In this paper, we design an efficient method to combine the keyword search process in ABKS with inner product encryption and deploy several proposed techniques to ensure the flexibility of retrieval mode, the security and efficiency of our scheme. We later put forward an attribute-based conjunctive keyword search scheme against outside KGA to solve the aforementioned problems. We provide security notions for two types of adversaries and our construction is proved secure against chosen keyword attack and outside KGA. Finally, all-side simulation with real-world data set is implemented for the proposed scheme, and the results of the simulation show that our scheme achieves stronger security without yielding significant cost of storage and computation.

scholarly journals Privacy-Preserving and Efficient Public Key Encryption with Keyword Search Based on CP-ABE in Cloud

Cryptography ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 28
Author(s):  
Yunhong Zhou ◽  
Shihui Zheng ◽  
Licheng Wang
Keyword(s):  
Access Control ◽  
Data Privacy ◽  
Keyword Search ◽  
Good Method ◽  
Privacy Preserving ◽  
Public Key ◽  
Public Key Encryption ◽  
Encrypted Data ◽  
Fine Grained ◽  
Attribute Based Encryption

In the area of searchable encryption, public key encryption with keyword search (PEKS) has been a critically important and promising technique which provides secure search over encrypted data in cloud computing. PEKS can protect user data privacy without affecting the usage of the data stored in the untrusted cloud server environment. However, most of the existing PEKS schemes concentrate on data users’ rich search functionalities, regardless of their search permission. Attribute-based encryption technology is a good method to solve the security issues, which provides fine-grained access control to the encrypted data. In this paper, we propose a privacy-preserving and efficient public key encryption with keyword search scheme by using the ciphertext-policy attribute-based encryption (CP-ABE) technique to support both fine-grained access control and keyword search over encrypted data simultaneously. We formalize the security definition, and prove that our scheme achieves selective indistinguishability security against an adaptive chosen keyword attack. Finally, we present the performance analysis in terms of theoretical analysis and experimental analysis, and demonstrate the efficiency of our scheme.

scholarly journals An efficient PHR service system supporting fuzzy keyword search and fine-grained access control

2013 ◽  
Vol 18 (9) ◽  
pp. 1795-1802 ◽  
Author(s):  
Fatos Xhafa ◽  
Jianfeng Wang ◽  
Xiaofeng Chen ◽  
Joseph K. Liu ◽  
Jin Li ◽  
...  
Keyword(s):  
Access Control ◽  
Keyword Search ◽  
Service System ◽  
Fine Grained ◽  
Fuzzy Keyword Search

A restricted proxy re-encryption with keyword search for fine-grained data access control in cloud storage

2016 ◽  
Vol 28 (10) ◽  
pp. 2858-2876 ◽  
Author(s):  
Zhenhua Chen ◽  
Shundong Li ◽  
Qiong Huang ◽  
Yilei Wang ◽  
Sufang Zhou
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Keyword Search ◽  
Data Access ◽  
Fine Grained ◽  
Data Access Control

scholarly journals A Key-Policy Searchable Attribute-Based Encryption Scheme for Efficient Keyword Search and Fine-Grained Access Control over Encrypted Data

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 265 ◽  
Author(s):  
Hui Yin ◽  
Yinqiao Xiong ◽  
Jixin Zhang ◽  
Lu Ou ◽  
Shaolin Liao ◽  
...  
Keyword(s):  
Access Control ◽  
Large Scale ◽  
Keyword Search ◽  
Data Access ◽  
Encryption Scheme ◽  
Encrypted Data ◽  
Fine Grained ◽  
Data Access Control ◽  
Attribute Based Encryption ◽  
Key Policy

Attribute based encryption is a promising technique that achieves flexible and fine-grained data access control over encrypted data, which is very suitable for a secure data sharing environment such as the currently popular cloud computing. However, traditional attribute based encryption fails to provide an efficient keyword based search on encrypted data, which somewhat weakens the power of this encryption technique, as search is usually the most important approach to quickly obtain data of interest from large-scale dataset. To address this problem, attribute based encryption with keyword search (ABKS) is designed to achieve fine-grained data access control and keyword based search, simultaneously, by an ingenious combination of attribute based encryption and searchable encryption. Recently, several ABKS schemes have been constructed in secure cloud storage system for data access control and keyword search. Nonetheless, each of these schemes has some defects such as impractical computation overhead and insufficient access policy expression. To overcome these limitations, in this paper, we design a Key-Policy Searchable Attribute-based Encryption Scheme (KPSABES) based on the full-blown key-policy attribute-based encryption proposed by Vipul Goyal et al. By novel design, our scheme not only inherits all advantages of that scheme but also achieves efficient and secure keyword search over encrypted data. We provide the detailed performance analyses and security proofs for our scheme. Extensive experiments demonstrated that our proposed scheme is superior in many aspects to the similar work.

scholarly journals Attribute-Based Keyword Search over Hierarchical Data in Cloud Computing

2017 ◽  
pp. 1-1 ◽  
Author(s):  
Yinbin Miao ◽  
Jianfeng Ma ◽  
Ximeng Liu ◽  
Xinghua Li ◽  
Qi Jiang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Keyword Search ◽  
Hierarchical Data
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