An Efficient Privacy Preserving Keyword Search Scheme in Cloud Computing

Liu, Qin; Wang, Guojun; Wu, Jie

doi:10.1109/cse.2009.66

Cited by 89 publications

(48 citation statements)

References 10 publications

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“…Literature [2] proposed an implementation of privacy protection in the cloud with keyword search mode, which supports service providers to participate in part of the work to protect tenants decrypt data privacy and user queries privacy. D. Huang et al [3] proposed a new cloud architecture, and compared to existing cloud services, which not only provides users with the computational complexity of services, while focusing on addressing threats to privacy and security management.…”

Section: Related Workmentioning

confidence: 99%

Trust Based Service Optimization Selection for Cloud Computing

Li¹,

He²,

Du³

2015

IJMUE

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Section: Related Workmentioning

confidence: 99%

Trust Based Service Optimization Selection for Cloud Computing

Li¹,

He²,

Du³

2015

IJMUE

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“…Hence this system is secure for polynomially many levels because it offers tight proof of security. An efficient privacy preserving keyword searching scheme in cloud computing concept is described by Liu et al [16]. His concept is to reduce the CPU capability and memory power by searching a certain keyword in the files.…”

Section: Related Workmentioning

confidence: 99%

An Improved Security enabled Distribution of Protected Cloud Storage Services by Zero-Knowledge Proof based on RSA Assumption

Varshini¹,

Palanikkumar²,

Rathi³

2012

IJCA

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Cloud computing dynamically provides high quality cloudbased secure services and applications over the internet. The efficient sharing of secure cloud storage services (ESC) scheme which allows the upper-level user to share the secure cloud storage services with multiple lower-level users. In hierarchical identity-based architecture, the sender needs to encrypt a file only once and store only one copy of the corresponding ciphertext in a cloud. The lower-level user needs to decrypt a file which will increase the computational overhead, because the lower-level user does not perform any partial decipherment. In this paper, we propose a Trapdoor commitment scheme that enables a lower-level user to send a short trapdoor to the cloud service provider before retrieving files. This scheme allows the CSP to participate in the partial decipherment, so as to reduce computational overhead on the users without leaking any information about the plaintext. If a lower-level user wants to retrieve a file with limited bandwidth, CPU and memory, the trapdoor which will largely helps to reduce computational power.

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“…Several researches have been conducted in developing SE scheme using public key cryptography [11][12][13][14][15][16].…”

Section: A Asymmetric Searchable Encryption (Ase)mentioning

confidence: 99%

Implementation of searchable symmetric encryption for privacy-preserving keyword search on cloud storage

Salam

Yau

Chin

et al. 2015

Hum. Cent. Comput. Inf. Sci.

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BackgroundWith the rapid development of cloud computing and mobile networking technologies, users tend to access their stored data from the remote cloud storage with mobile devices. The main advantage of cloud storage is its ubiquitous user accessibility and also its virtually unlimited data storage capabilities. Despite such benefits provided by the cloud, the major challenge that remains is the concern over the confidentiality and privacy of data while adopting the cloud storage services [1]. For instance, unencrypted user data stored at the remote cloud server can be vulnerable to external attacks initiated by unauthorized outsiders and internal attacks initiated by the untrustworthy cloud service providers (CSPs) [2]. There are several reports that confirm data breaches related to cloud servers, due to malicious attack, theft or internal errors [3]. This raises concern for many users/ AbstractEnsuring the cloud data security is a major concern for corporate cloud subscribers and in some cases for the private cloud users. Confidentiality of the stored data can be managed by encrypting the data at the client side before outsourcing it to the remote cloud storage server. However, once the data is encrypted, it will limit server's capability for keyword search since the data is encrypted and server simply cannot make a plaintext keyword search on encrypted data. But again we need the keyword search functionality for efficient retrieval of data. To maintain user's data confidentiality, the keyword search functionality should be able to perform over encrypted cloud data and additionally it should not leak any information about the searched keyword or the retrieved document. This is known as privacy preserving keyword search. This paper aims to study privacy preserving keyword search over encrypted cloud data. Also, we present our implementation of a privacy preserving data storage and retrieval system in cloud computing. For our implementation, we have chosen one of the symmetric key primitives due to its efficiency in mobile environments. The implemented scheme enables a user to store data securely in the cloud by encrypting it before outsourcing and also provides user capability to search over the encrypted data without revealing any information about the data or the query. Salam et al. Hum. Cent. Comput. Inf. Sci. (2015) et al. Hum. Cent. Comput. Inf. Sci. (2015) 5:19 organizations as the outsourced data might contain very sensitive personal organization/ information. RESEARCHPage 2 of 16 SalamSeveral researches have addressed the issue of ensuring confidentiality and privacy of cloud data without compromising the user functionality. Here, confidentiality refers to the secrecy of the stored data so that only the client can read the contents of the stored data. To solve the problem of confidentiality, data encryption schemes can come in handy to provide the users with some control over the secrecy of their stored data. This has been adopted by many recent researches which allow users to encrypt their data...

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An Efficient Privacy Preserving Keyword Search Scheme in Cloud Computing

Cited by 89 publications

References 10 publications

Trust Based Service Optimization Selection for Cloud Computing

Trust Based Service Optimization Selection for Cloud Computing

An Improved Security enabled Distribution of Protected Cloud Storage Services by Zero-Knowledge Proof based on RSA Assumption

Implementation of searchable symmetric encryption for privacy-preserving keyword search on cloud storage

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