Database Padding for Dynamic Symmetric Searchable Encryption

Du, Ruxu; Zhang, Yuqing; Li, Mingyue

doi:10.1155/2021/9703969

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…Regarding searchable encryption, recent studies have a focus on dynamic schemes that allow operations of insert, update, or delete to be carried out directly on the encrypted data. Such studies in this direction are [36][37][38]. In addition, searchable encryption is used for biometric authentication-namely, the operations within the authentication process that are made directly over encrypted biometric data, without a need for decryption while applying the computations.…”

Section: State-of-the-art Approachmentioning

confidence: 99%

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Mihăilescu

Nita

2022

Cryptography

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Cloud computing offers the possibility of providing suitable access within a network for a set of resources. Many users use different services for outsourcing their data within the cloud, saving and mitigating the local storage and other resources involved. One of the biggest concerns is represented by storing sensitive data on remote servers, which can be found to be extremely challenging within different situations related to privacy. Searchable Encryption (SE) represents a particular case of Fully Homomorphic Encryption (FHE) and at the same time represents a method composed from a set of algorithms meant to offer protection for users’ sensitive data, while it preserves the searching functionality on the server-side. There are two main types of SE: Searchable Symmetric Encryption (SSE), where the ciphertexts and trapdoors for searching are performed using private key holders, and Public Key Searchable Encryption (PKSE), in which a specific number of users have the public key based on which are capable of outputting ciphertexts and giving the possibility of producing the trapdoors by using the private key from the holder. In this article, we propose a searchable encryption system that uses biometric authentication. Additionally, biometric data are used in the trapdoor generation process, such that an unauthorized user cannot submit search queries. The proposed system contains three components: classic user authentication (based on username, password, and a message with a code using short message service (SMS), biometric authentication, and the searchable encryption scheme. The first two components can be seen as two-factor authentication (2FA), and the second component represents the initialization step of the searchable encryption scheme. In the end, we show and demonstrate that the proposed scheme can be implemented with success for medium to complex network infrastructures. We have granted special attention to the trapdoor function, which generates a value that can be used to perform the search process and search function that is based on the trapdoor pair for searching within the index structure. We provide the correctness and security proof of the operations, which gives us the guarantee that the cloud servers return the correct documents. Additionally, we discuss measuring the performance of the authentication scheme in terms of performance indicators, introducing two indicators for measuring purposes—namely, cloud average number of non-legitim the user actions for cloud purposes (CANNL) and cloud average number of legitim user actions (CANLU).

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Section: State-of-the-art Approachmentioning

confidence: 99%

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Mihăilescu

Nita

2022

Cryptography

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Full‐Accessible Multiparty Searchable Encryption Scheme for Shared Cloud Storage

Kim,

Eom,

Kim

2024

IET Information Security

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To securely share the data between users, encryption schemes with keyword searches in various settings have been proposed. Many studies design schemes in a designated receiver setting where a data owner specifies which receivers could download the data in advance at the time the data are uploaded. In this setting, it is not easy to extend the scheme to support environments with multiple data owners. Moreover, there was no scheme considering the situation in which a newly enrolled user accesses data that were uploaded prior to his enrollment. On the other hand, schemes designed in an undesignated receiver setting support multiple data owners and allow data to be accessed by all users in the system, regardless of the time the data were uploaded. However, most of them are not secure against collusion attacks involving an untrusted server and revoked users. In this paper, we propose a full‐accessible multiparty searchable encryption (FA‐MPSE) scheme for data‐sharing systems. Our scheme supports the property that we call full-accessibility, and any users in the system can access all data in the storage. In addition, our scheme is secure against collision attacks so that the revoked users who collaborate with the server can not access the stored data. Furthermore, our scheme provides all the essential properties of MPSE, such as query privacy, query unforgeability, full‐revocability, and unlinkability, and its security is proven in a formal security model. We provide the comparison result with the related schemes to show that our scheme has a comparative advantage.

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Information Automatic Sharing Model Based on Big Data Mining Algorithm

Xiaqiu

2021

J. Phys.: Conf. Ser.

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The advent of the era of big data has promoted the transformation of traditional financial management models, and the automated sharing of public financial information has gradually appeared in the public’s field of vision. Gradually recognized by business managers, there has been an upsurge in the application of public financial information automated sharing models. Especially it has been widely used in large enterprises and multinational enterprises, and it has also attracted the attention of many large enterprises. With the continuous maturity of big data technology, financial information has shown diversified characteristics, and more accurate financial analysis capabilities are required. The management of enterprises has gradually realized that applying big data mining algorithms to the automated sharing of public financial information should be possible. Bring new progress to sharing centers and enterprises. Slowly, with the continuous development of technology, more and more senior corporate managers realize the importance of automated sharing of public financial information and the practicality of big data mining algorithms. Research shows that this article mainly uses the literature research method to study the origin, definition and implementation process of the public financial information automation sharing model by domestic and foreign scholars, and proposes the process modules that need to be improved and optimized under the big data environment. Studies have proved that the company’s products have gradually gained advantages after 2015, reflecting that the company’s profitability is gradually recovering, and the utility of the automatic sharing model of public financial information based on big data mining algorithms has begun to gradually come into play. At the same time, the main business income and net profit respectively showed a downward trend in 2015, and showed a steady increase after 2009. In 2008, the company’s public financial information automatic sharing model based on big data mining algorithms incurred relatively large costs in the early stage, which also had a greater impact on the company’s related profit indicators.

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Database Padding for Dynamic Symmetric Searchable Encryption

Cited by 4 publications

References 15 publications

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Full‐Accessible Multiparty Searchable Encryption Scheme for Shared Cloud Storage

Information Automatic Sharing Model Based on Big Data Mining Algorithm

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