A framework for searching encrypted databases

Alves, Pedro Geraldo M. R.; Aranha, Diego F.

doi:10.1186/s13174-017-0073-0

Cited by 26 publications

(4 citation statements)

References 32 publications

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“…Meanwhile, genotypes and phenotypes as well as a subset of the queries are protected from the public cloud and attackers. More precisely, we consider the following three threat models for database management [35,10]:…”

Section: Methodsmentioning

confidence: 99%

Ultra-secure storage and analysis of genetic data for the advancement of precision medicine

Blindenbach,

Kang,

Hong

et al. 2024

Preprint

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Cloud computing provides the opportunity to store the ever-growing genotype-phenotype data sets needed to achieve the full potential of precision medicine. However, due to the sensitive nature of this data and the patchwork of data privacy laws across states and countries, additional security protections are proving necessary to ensure data privacy and security. Here we present SQUiD, asecurequeryabledatabase for storing and analyzing genotype-phenotype data. With SQUiD, genotype-phenotype data can be stored in a low-security, low-cost public cloud in the encrypted form, which researchers can securely query without the public cloud ever being able to decrypt the data. We demonstrate the usability of SQUiD by replicating various commonly used calculations such as polygenic risk scores, cohort creation for GWAS, MAF filtering, and patient similarity analysis both on synthetic and UK Biobank data. Our work represents a new and scalable platform enabling the realization of precision medicine without security and privacy concerns.

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Section: Methodsmentioning

confidence: 99%

Ultra-secure storage and analysis of genetic data for the advancement of precision medicine

Blindenbach,

Kang,

Hong

et al. 2024

Preprint

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“…Various attempts such as CryptDB [12] have been made regarding homomorphic encryption. CryptDB has proposed the idea of encrypt attributes at different levels, such as onion layers [16]. It also uses a reliable proxy server to store encryption keys, database schema and onion layers of all attributes.…”

Section: Homomorphic Encryption Based Methodsmentioning

confidence: 99%

“…In order to process the query, the proxy checks the required attributes and then considers the suitable layer. Consequently, it separates the onion layers dynamically, if necessary, and assigns data computation to the appropriate layer [16]. However, it is significant to note that the inner layers do not provide high level of security and are vulnerable to attacks.…”

Section: Homomorphic Encryption Based Methodsmentioning

confidence: 99%

Searchable Encrypted String for Query Support on Different Encrypted Data Types

2020

KSII TIIS

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Data encryption, particularly application-level data encryption, is a common solution to protect data confidentiality and deal with security threats. Application-level encryption is a process in which data is encrypted before being sent to the database. However, cryptography transforms data and makes the query difficult to execute. Various studies have been carried out to find ways in order to implement a searchable encrypted database. In the current paper, we provide a new encrypting method and querying on encrypted data (ZSDB) for different data types. It is worth mentioning that the proposed method is based on secret sharing. ZSDB provides data confidentiality by dividing sensitive data into two parts and using the additional server as Dictionary Server. In addition, it supports required operations on various types of data, especially LIKE operator functioning on string data type. ZSDB dedicates the largest volume of execution tasks on queries to the server. Therefore, the data owner only needs to encrypt and decrypt data.

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“…[6] have proposed a framework for database encryption that preserves data secrecy on an un-trusted environment while performing searching on cloud database. They have employed order revealing encryption to perform selection operation on databases, and homomorphism to enable computation over cipher texts [6]. L. Arockiam et al (2013) have analyzed the issues involved in managing data privacy on the cloud.…”

Section: Review Of Literaturementioning

confidence: 99%

Implementing Data Privacy of Cloud Data on a Remote Server using Symmetric Cryptographic Algorithms

Livingston

Kirubakaran

David

2021

Int. J. Adv. Data Inf. Syst.

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Cloud Computing is an excellent technology for Micro Medium and Small Enterprises, which operate under budget shortage for setting up their own Information Technology infrastructure that requires capital investment on resources such as computers, storage and networking devices. Now-a-days, major Cloud Providers like Google and Amazon provide cloud services to its customers for managing their email, contact list, calendar, documents, and their own websites. MSME can take advantage of the cloud-based solutions offered by various Cloud Service Providers for equipping their own employees in doing their day to day activities more effectively and on the cloud. Though cloud computing promotes less expensive and collaborative work environment among a group of employees, it involves risks in keeping the resources such as computing and data secured. Different mechanisms are available for securing the data on the cloud among which encryption of data using cryptographic algorithm is the widely used one. Among various encryption symmetric algorithms, Advanced Encryption Standard is the more secured symmetric encryption algorithm for implementing data privacy on the cloud. In this paper, the authors have discussed some of the issues involved in adopting the cloud in an organization and proposed solutions that will benefit an organization while uploading and managing data in files and databases on the cloud.

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A framework for searching encrypted databases

Cited by 26 publications

References 32 publications

Ultra-secure storage and analysis of genetic data for the advancement of precision medicine

Ultra-secure storage and analysis of genetic data for the advancement of precision medicine

Searchable Encrypted String for Query Support on Different Encrypted Data Types

Implementing Data Privacy of Cloud Data on a Remote Server using Symmetric Cryptographic Algorithms

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