Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud

Wang, Bing; Yu, Shucheng; Lou, Wenjing; Hou, Y. Thomas

doi:10.1109/infocom.2014.6848153

Cited by 311 publications

(208 citation statements)

References 16 publications

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“…All these researches focused on the single-keyword Boolean search. After this many researchers as explored in [7], [8], [9], and [10] focused on similarity search with single keyword. A Boolean search with multiple keywords with ranked search capabilities is found in [22], [23], [24], and [25].…”

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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“…In that proposed and incorporated a few new plans to tackle the different catchphrases seek and the fluffy pursuit issues at the same time with high efficiency. Our approach of utilizing LSH works in the Bloom filter to build the file list is novel and gives an efficient answer for the protected fluffy pursuit of different watchwords [5] III. PROPOSED ARCHITECTURE Proposed system supports for both the accurate multi-keyword ranked search and flexible dynamic operation on document collection .MRSE is based on cloud but merging the concept of data mining.MRSE developed using AES encryption algorithm uses comparator interface for matching the strings.…”

Section: Literature Surveymentioning

confidence: 99%

A Survey of Ranked Search Scheme on Encrypted Cloud Document Using Authentication With Secure Storage

2017

IJRTER

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Abstract:As the distributed cloud computing innovation which is the most the most recent database which outsourcing information to cloud benefit for capacity turns into an appealing pattern, which benefits in cautious endeavors on overwhelming information upkeep. Since the outsourced circulated capacity is not completely solid, it raises security stresses on the most capable technique to recognize data indistinguishable in cloud while achieving trustworthiness inspecting. In this work, we look at the issue of uprightness assessing and secure piece duplication on cloud data. Specifically, going for achieving both data genuineness and reduplication in cloud, we propose two secure systems, to be particular Secure Cloud and Secure Cloud environment for secure and dynamic data storage.Cloud offers a searching into factor with no longer preserving a Map Reduce cloud, which facilitates customerssupply data marks earlier than transferring and extra survey the respectability of facts have secured in cloud.In light of past paintings the figuring with the secure customer data in Cloud environment. At the point when information has been appropriated it is put away at more areas expanding the danger of unapproved physical access to the information. For instance, in cloud based engineering, information is reproduced and moved as often as possible so the danger of unapproved information recuperation increments drastically. For example, on account of transfer of old hardware, reuse of drives, reallocation of storage room. The way that information is repeated relies on upon the administration level a client picks and on the administration gave. At the point when encryption is set up it can guarantee secrecy.

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“…Disadvantage-Their solution does not tolerate keyword spelling error. [21] proposed a multi keyword fuzzy search scheme by taking advantages of locality-sensitive hashing technique. Their proposed scheme attain fuzzy matching through algorithmic design without extending the index file.…”

Section: Wang Et Almentioning

confidence: 99%

A Secured and Searchable Encryption Algorithm for Cloud Storage

Mehto¹,

Moriwal²

2015

IJCA

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Cloud computing is a new generation technology which efficiently support the client oriented services. Now in these days there are a number of applications which consumes the cloud storage service for storing and retrieving information. In such conditions the data owner management and privacy preservation cryptographic techniques are utilized frequently. But due to cryptographic technique of security implementation the data leave their own format and converted into other unreadable format. Due to this retrieval of required information becomes complex. Therefore in this paper a proposed solution incorporate the hash table management and indexing techniques to keep track the actual data contents in terms of document features which may help for encrypting user data and identifying the user data and privacy.

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Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud

Cited by 311 publications

References 16 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

A Survey of Ranked Search Scheme on Encrypted Cloud Document Using Authentication With Secure Storage

A Secured and Searchable Encryption Algorithm for Cloud Storage

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