Achieving authorized and ranked multi-keyword search over encrypted cloud data

Li, Hongwei; Liu, Dongxiao; Jia, Kun; Lin, Xiaodong

doi:10.1109/icc.2015.7249517

Cited by 38 publications

(28 citation statements)

References 10 publications

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“…In searchable encryption, clients store data into encrypted form to the cloud server and keyword searching can be perform on ciphertext. Searchable encryption (SE) techniques [4], [5], [6], [7], [13], [14], [15], [16], [17] can partially fulfill the need for secure outsourced data search. Secure search over encrypted cloud data reduces the computation and storage cost.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

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A Survey on Multi-Keyword Ranked Search over Encrypted Cloud Data with Multile Data Owners

Sonawane¹,

Dagade²

2017

IJCA

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The promising benefit of cloud computing is outsourcing of data service, by which the data owners stores their data in the public data centers by economically saving their capital investment towards data management. Cloud Storage provides users with abundant storage space and makes it user friendly for immediate acquiring of data, which is the foundation of all kinds of cloud applications. Data outsourcing in the commercial public cloud also raise the problem for unauthorized data access and the cloud storage does not make sense if the outsourced data is not effectively utilized. The practical challenge is on how to make effective data access in the public cloud storage aiming at improvement of various searching techniques for increasing the data utilization. In this paper, an attempt is made to survey various searching techniques towards effective data utilization in cloud storage and is discussed in detail.

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Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…Later, several multi-keyword search schemes were proposed [4], [5], [6], [7], [11], [12], [14]. When huge amount of data owners [2], [8] are involved then they generate trapdoors simultaneously which affect the flexibility and usability of search system.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

A Survey on Multi-Keyword Ranked Search over Encrypted Cloud Data with Multile Data Owners

Sonawane¹,

Dagade²

2017

IJCA

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“…7: When user acquires the˜from the cloud server, calculating the values of ( , * ) and value respectively according to the . (12). Then sends the as Epck( ) to cloud server.…”

Section: A Confidentiality Of Observed Valuesmentioning

confidence: 99%

Towards Efficient Privacy-Preserving Truth Discovery in Crowd Sensing Systems

Liu

et al. 2016

2016 IEEE Global Communications Conference (GLOBECOM)

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With the rapid development of portable mobile devices, crowd sensing systems have been recognized as a key technology to utilize the data collected by the portable mobile devices towards scalable and flexible mobile services. However, since the information provided by devices may not be reliable, the aggregated results of the collected data may not be accurate. To tackle this challenge, various truth discovery schemes have been proposed. On the other hand, a practical issue of privacy protection is not considered in most existing truth discovery schemes. In this paper, we propose an Efficient Privacy-preserving Truth Discovery (EPTD) in Crowd Sensing Systems, which can protect the privacy of users' observed values and weights in truth discovery process. Finally, we show the performance of our scheme is better than existing models in terms of computation overhead.

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“…This makes file-level fine-grained authoriza-tion a problem. Existing solutions such as Sun's [3] and Li's [4] have some drawbacks. Sun's scheme cannot achieve ranking search and needs a large computational overhead.…”

Section: Introductionmentioning

confidence: 99%

ESAS: An Efficient Semantic and Authorized Search Scheme over Encrypted Outsourced Data

Liu

Guan

et al. 2019

2019 International Conference on Computing, Networking and Communications (ICNC)

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Nowadays, a large amount of user privacysensitive data is outsourced to the cloud server in ciphertext, which is provided by the data owners and can be accessed by authorized data users. When accessing data, the user should be assigned with the access permission according to his identities or attributes. In addition, the search capabilities in encrypted outsourced data is expected to be enhanced, i.e., the search results can better present user's intentions. To address the above issues, ESAS, an Efficient Semantic and Authorized Search scheme over encrypted outsourced data, is proposed. In ESAS, by integrating PRSCG (the privacy-preserving ranked search based on conceptual graph) and CP-ABE (ciphertext policy attribute-based encryption), semantic search with file-level fine-grained access authorization can be realized. In addition, search authorization can be done in an offline manner, which can improve search efficiency and reduce the response time. The security analysis indicate that the proposed ESAS meets security requirement.

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Achieving authorized and ranked multi-keyword search over encrypted cloud data

Cited by 38 publications

References 10 publications

A Survey on Multi-Keyword Ranked Search over Encrypted Cloud Data with Multile Data Owners

A Survey on Multi-Keyword Ranked Search over Encrypted Cloud Data with Multile Data Owners

Towards Efficient Privacy-Preserving Truth Discovery in Crowd Sensing Systems

ESAS: An Efficient Semantic and Authorized Search Scheme over Encrypted Outsourced Data

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