Secure Inverted Index Based Search over Encrypted Cloud Data with User Access Rights Management

Boucenna, Fateh; Nouali, Omar; Kechid, Samir; Kechadi, Tahar

doi:10.1007/s11390-019-1903-2

Cited by 14 publications

(19 citation statements)

References 40 publications

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“…The above table provides the searching time results in seconds for various number of queries. The searching time of proposed ABE is compared with various existing techniques namely HABE [14], TFS [15], PCDD [18] and SII [19] and their validated results are presented in the graphical structure, which is shown in Figure 3. Figure 3 shows that the proposed ABE-based search technique searches the queries in less number of time.…”

Section: Performance Evaluation Of Proposed Abe Methodsmentioning

confidence: 99%

“…In this section, a review of recent techniques namely encryption techniques, access control solution and disclosure discovery methods based on privacy-preservation of end user tare presented in [14][15][16][17][18][19][20].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [19], the author proposed a Secure Inverted Index (SII) using homomorphic encryption and dummy documents technique to solve the privacy issues of end user. Even though, the two techniques had limitations, this approach obtained benefits from these two methods by using compressed table of encrypted scores and double score formula.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Here, the retrieval performance is validated by using precision and recall. The proposed ABE-based search technique is compared with existing techniques namely HABE [14], TFS [15], PDAC [17], PCDD [18] and SII [19], which are explained in below section.…”

Section: Parameter Evaluationmentioning

confidence: 99%

See 3 more Smart Citations

Ontology Based Privacy Preservation over Encrypted Data using Attribute-Based Encryption Technique

Jose¹,

Poulose²

2021

Adv. sci. technol. eng. syst. j.

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The web documents are automatically interacting to discover the information by web mining, which is one of the applications of Cloud Computing (CC) technologies. These documents may be in the form of structured, semi-structured, or unstructured formats. In current web technologies, the Semantic Web is an extension for better enabling the people and computers to work together, where the information is well defined. Before storing the data to the cloud server, data owners should encrypt their data for privacy and security concerns. At the same time, the end-user, who is finding the data related to specific keywords, suggests the research on searchable encryption technique. In this research work, fine-grained authorization of search was achieved by developing the Attribute-Based Encryption (ABE) search technique, which is under the distribution of multiple attribute authorization. Finally, to validate this approach, an experimental study is conducted on Wikipedia as an ontology with existing techniques. This research applies the Attribute based encryption and search method for the effective search and improve security in the cloud. Access policy, cipher text and secret key is developed based on the Attribute selected from the data. The Lagrange interpolation method is applied for the search process and registration key is applied to access the data. The privacy preserving efficiency of the proposed model is 99.2 % and existing Hierarchical-ABE method has 96 % efficiency.

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Section: Performance Evaluation Of Proposed Abe Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Parameter Evaluationmentioning

confidence: 99%

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Ontology Based Privacy Preservation over Encrypted Data using Attribute-Based Encryption Technique

Jose¹,

Poulose²

2021

Adv. sci. technol. eng. syst. j.

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“…Therefore, in order to protect its privacy and security, special attention must be paid to the use and storage process. With the continuous development of cloud storage technology, this security measure is particularly important [1]. At present, the front-end encryption of speech is one of the methods to protect speech security in cloud storage environment.…”

Section: Introductionmentioning

confidence: 99%

An Encrypted Speech Retrieval Scheme Based on Long Short-Term Memory Neural Network and Deep Hashing

2020

KSII TIIS

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Due to the explosive growth of multimedia speech data, how to protect the privacy of speech data and how to efficiently retrieve speech data have become a hot spot for researchers in recent years. In this paper, we proposed an encrypted speech retrieval scheme based on long short-term memory (LSTM) neural network and deep hashing. This scheme not only achieves efficient retrieval of massive speech in cloud environment, but also effectively avoids the risk of sensitive information leakage. Firstly, a novel speech encryption algorithm based on 4D quadratic autonomous hyperchaotic system is proposed to realize the privacy and security of speech data in the cloud. Secondly, the integrated LSTM network model and deep hashing algorithm are used to extract high-level features of speech data. It is used to solve the high dimensional and temporality problems of speech data, and increase the retrieval efficiency and retrieval accuracy of the proposed scheme. Finally, the normalized Hamming distance algorithm is used to achieve matching. Compared with the existing algorithms, the proposed scheme has good discrimination and robustness and it has high recall, precision and retrieval efficiency under various content preserving operations. Meanwhile, the proposed speech encryption algorithm has high key space and can effectively resist exhaustive attacks.

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Research on Key Word Information Retrieval Based on Inverted Index

Fang²,

Zhao³

et al. 2022

Advances in Artificial Intelligence and Security

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Secure Inverted Index Based Search over Encrypted Cloud Data with User Access Rights Management

Cited by 14 publications

References 40 publications

Ontology Based Privacy Preservation over Encrypted Data using Attribute-Based Encryption Technique

Ontology Based Privacy Preservation over Encrypted Data using Attribute-Based Encryption Technique

An Encrypted Speech Retrieval Scheme Based on Long Short-Term Memory Neural Network and Deep Hashing

Research on Key Word Information Retrieval Based on Inverted Index

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