Publicly verifiable searchable symmetric encryption based on efficient cryptographic components

Soleimanian, Azam; Khazaei, Shahram

doi:10.1007/s10623-018-0489-y

Cited by 34 publications

(14 citation statements)

References 12 publications

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“…Subsequently, several SSE schemes were proposed for improvement. For example, Cash et al [ 16 ] proposed an SSE scheme that supports conjunctive search and general Boolean queries on outsourced symmetrically encrypted data; Salam et al [ 17 ] proposed a privacy-preserving data storage and retrieval system in cloud computing; Li et al [ 18 ] proposed three different SSE schemes that can guard against a coercer by using the deniable encryption idea; Soleimanian et al [ 19 ] proposed an SSE scheme to be publicly verifiable.…”

Section: Related Workmentioning

confidence: 99%

Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data

et al. 2019

Sensors

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The Internet of things (IoT) has become a significant part of our daily life. Composed of millions of intelligent devices, IoT can interconnect people with the physical world. With the development of IoT technology, the amount of data generated by sensors or devices is increasing dramatically. IoT-based big data has become a very active research area. One of the key issues in IoT-based big data is ensuring the utility of data while preserving privacy. In this paper, we deal with the protection of big data privacy in the data storage phase and propose a searchable encryption scheme satisfying personalized privacy needs. Our proposed scheme works for all file types including text, audio, image, video, etc., and meets different privacy needs of different individuals at the expense of high storage cost. We also show that our proposed scheme satisfies index indistinguishability and trapdoor indistinguishability.

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Section: Related Workmentioning

confidence: 99%

Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data

et al. 2019

Sensors

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“…While UC-security is stronger than CKA2-security, their construction requires a linear search time. Soleimanian et al [15] presented a public VSSE scheme, which delegates a third party to accomplish the verification, but fails to support dynamic operations. The subsequent work of Kurosawa et.al [16] extends VSSE to a dynamic environment.…”

Section: Related Workmentioning

confidence: 99%

Enabling Verifiable and Dynamic Ranked Search over Outsourced Data

Tian

et al. 2022

IEEE Trans. Serv. Comput.

122

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Cloud computing as a promising computing paradigm is increasingly utilized as potential hosts for users' massive dataset. Since the cloud service provider (CSP) is outside the users' trusted domain, existing research suggests encrypting sensitive data before outsourcing and adopting Searchable Symmetric Encryption (SSE) to facilitate keyword-based searches over the ciphertexts. However, it remains a challenging task to design an effective SSE scheme that simultaneously supports sublinear search time, efficient update and verification, and on-demand information retrieval. To address this, we propose a Verifiable Dynamic Encryption with Ranked Search (VDERS) scheme that allows a user to perform top-K searches on a dynamic document collection and verify the correctness of the search results in a secure and efficient way. Specifically, we first provide a basic construction, VDERS 0 , where a ranked inverted index and a verifiable matrix are constructed to enable verifiable document insertion in top-K searches. Then, an advanced construction, VDERS ⋆ , is devised to further support document deletion with a reduced communication cost. Extensive experiments on real datasets demonstrate the efficiency and effectiveness of our VDERS scheme.

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“…Besides, the file contents can also be tampered. Verifiable Searchable Encryption(VSE) [37] has been proposed to address these issues. Zhu et al [38] proposed the first generic VSE in multi-user mode.…”

Section: Related Workmentioning

confidence: 99%

Checking Only When It Is Necessary: Enabling Integrity Auditing Based on the Keyword With Sensitive Information Privacy for Encrypted Cloud Data

Gao

Chang

et al. 2022

IEEE Trans. Dependable and Secure Comput.

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The public cloud data integrity auditing technique is used to check the integrity of cloud data through the Third Party Auditor (TPA). In order to make it more practical, we propose a new paradigm called integrity auditing based on the keyword with sensitive information privacy for encrypted cloud data. This paradigm is designed for one of the most common scenario, that is, the user concerns the integrity of a portion of encrypted cloud files that contain his/her interested keywords. In our proposed scheme, the TPA who is only provided with the encrypted keyword, can audit the integrity of all encrypted cloud files that contain the user's interested keyword. Meanwhile, the TPA cannot deduce the sensitive information about which files contain the keyword and how many files contain this keyword. These salient features are realized by leveraging a newly proposed Relation Authentication Label (RAL). The RAL can not only authenticate the relation that files contain the queried keyword, but also be used to generate the auditing proof without sensitive information exposure. We give concrete security analysis showing that the proposed scheme satisfies correctness, auditing soundness and sensitive information privacy. We also conduct the detailed experiments to show the efficiency of our scheme.

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Publicly verifiable searchable symmetric encryption based on efficient cryptographic components

Cited by 34 publications

References 12 publications

Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data

Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data

Enabling Verifiable and Dynamic Ranked Search over Outsourced Data

Checking Only When It Is Necessary: Enabling Integrity Auditing Based on the Keyword With Sensitive Information Privacy for Encrypted Cloud Data

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