Public Key Encryption with Conjunctive Keyword Search and Its Extension to a Multi-user System

Hwang, Yong Ho; Lee, Pil Joong

doi:10.1007/978-3-540-73489-5_2

Cited by 285 publications

(201 citation statements)

References 22 publications

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“…This kind of keywords provides flexible search mechanisms to have resultant documents. There are other search mechanisms known as conjunctive keyword search schemes explored in [15], [12], and [13]. These schemes returned the documents that contained all keywords.…”

Section: Related Workmentioning

confidence: 99%

Flexible Multi-Keyword Based Optimized Search Scheme for Encrypted Cloud Storage with User Revocation

Shruthi¹,

Deepthi²,

Sreelatha³

2017

International Journal of Advanced Research in Computer and Comm

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Abstract:Encryption is used to secure data before it is sent to cloud storage. It is done by data owner in order to protect data from misuse. However, there are issues when the encrypted data needs to accessed or searched for. The traditional search operation is not suitable for searching encrypted cloud data. Many researchers contributed towards providing search mechanisms on encrypted and outsourced cloud data. Xia et al. focused on secure multi-keyword ranked search on the encrypted and outsourced data to public cloud. They supported search operations and data dynamics as well. In this paper we proposed a methodology for performing flexible multi-keyword based optimized search scheme for encrypted cloud storage with user revocation feature. Users who are no longer supported by the system are revoked in order to ensure that the system remains secure. A model is built in order to have dynamic queries possible. Towards this end TF/IDF measure is used for flexible search operations on outsourced cloud data. We built a prototype application that shows multi-keyword ranked search with user revocation feature. The results revealed that the proposed system is flexible, secure and supporting optimized search over encrypted cloud data.

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Section: Related Workmentioning

confidence: 99%

Flexible Multi-Keyword Based Optimized Search Scheme for Encrypted Cloud Storage with User Revocation

Shruthi¹,

Deepthi²,

Sreelatha³

2017

International Journal of Advanced Research in Computer and Comm

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“…Several techniques have been proposed allowing authorised users to perform efficient queries on the encrypted data while not revealing information on the data and the query [33,7,15,10,18,8,35,5,28,32,14]. However, these techniques do not support the case of users having different access rights over the protected data.…”

Section: Related Workmentioning

confidence: 99%

ESPOONERBAC: Enforcing security policies in outsourced environments

Asghar¹,

Ion²,

Russello³

et al. 2013

Computers & Security

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Data outsourcing is a growing business model offering services to individuals and enterprises for processing and storing a huge amount of data. It is not only economical but also promises higher availability, scalability, and more effective quality of service than in-house solutions. Despite all its benefits, data outsourcing raises serious security concerns for preserving data confidentiality. There are solutions for preserving confidentiality of data while supporting search on the data stored in outsourced environments. However, such solutions do not support access policies to regulate access to a particular subset of the stored data.For complex user management, large enterprises employ Role-Based Access Controls (RBAC) models for making access decisions based on the role in which a user is active in. However, RBAC models cannot be deployed in outsourced environments as they rely on trusted infrastructure in order to regulate access to the data. The deployment of RBAC models may reveal private information about sensitive data they aim to protect. In this paper, we aim at filling this gap by proposing ESPOON ERBAC for enforcing RBAC policies in outsourced environments. ESPOON ERBAC enforces RBAC policies in an encrypted manner where a curious service provider may learn a very limited information about RBAC policies. We have implemented ESPOON ERBAC and provided its performance evaluation showing a limited overhead, thus confirming viability of our approach.

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“…Park in [4] reduced the query token size into a constant and made the computation time of query operations in constant complexity. Further, some of previous papers proposed variety of query types which support not only equality query but also conjunction query to make the method more practical [5]. Byun and Lee [6] defined a security model for conjunctive keyword search on a practical relational database.…”

Section: Introductionmentioning

confidence: 99%

Integration of Hierarchical Access Control and Keyword Search Encryption in Cloud Computing Environment

Wang¹,

Hsu²

2013

IJCCE

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Abstract-An increasing number of applications have been proposed and discussed on the cloud computing environment because it can bring many benefits like reducing the cost of maintaining data centers in an enterprise, low data management cost and retrieval of data whenever you want, etc. As more and more sensitive information and personal data are centralized into the cloud servers, how to protect data privacy and combat the unauthorized accesses is an important issue in the cloud computing environment since the outsourcing-service server may not be fully trusted. One method to alleviate the security worries is storing data in the encrypted form. The drawback of the encrypted data is the limitation of usability. The keyword search encryption technique has been proposed to solve the query limitation for the encrypted data; however, most of the researches focus on processing an individual user request. The proposed approach combines the fine-grained access control and keyword search encryption to provide multiple users' access controls in the cloud environment with encrypted data protection. The user in this situation can retrieve the data file from the cloud database only if she/he gives appropriate keywords and presents the identity or position that satisfies the rules of the access rights.Index Terms-Cloud computing, keyword search encryption, hidden vector encryption, fine-grained access control.

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Public Key Encryption with Conjunctive Keyword Search and Its Extension to a Multi-user System

Cited by 285 publications

References 22 publications

Flexible Multi-Keyword Based Optimized Search Scheme for Encrypted Cloud Storage with User Revocation

Flexible Multi-Keyword Based Optimized Search Scheme for Encrypted Cloud Storage with User Revocation

ESPOONERBAC: Enforcing security policies in outsourced environments

Integration of Hierarchical Access Control and Keyword Search Encryption in Cloud Computing Environment

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