Multiuser Searchable Encryption with Token Freshness Verification

Sharma, Dhruti; Jinwala, Devesh C.

doi:10.1155/2017/6435138

Cited by 11 publications

(6 citation statements)

References 38 publications

(186 reference statements)

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“…In 2013, Fang et al [14] proposed a PEKS scheme in the standard model, which can resist outside attacker's offline KGA. Later, many researchers studied the offline KGA and proposed many schemes [15][16][17][18][19][20].…”

Section: Related Workmentioning

confidence: 99%

A Secure Data Sharing Scheme with Designated Server

Zhu

Sun

Qin

et al. 2019

Security and Communication Networks

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The cloud-assisted Internet of Things (CIoT) is booming, which utilizes powerful data processing capabilities of the cloud platform to solve massive Internet of Things (IoT) data. However, the CIoT faces new security challenges, such as the confidentiality of the outsourced data. Data encryption is a fundamental technique that can guarantee the confidentiality of outsourced data, but it limits target encrypted data retrieval from cloud platform. Public key encryption with keyword search (PEKS) provides a promising solution to address this problem. In PEKS, a cloud server can be authorized to search the keyword in encrypted documents and retrieve associated encrypted documents for the receiver. However, most existing PEKS schemes merely focus on keyword search function while ignoring the associated documents encryption/decryption function. Thus, in practice, a PEKS scheme must cooperate with another separated public key encryption (PKE) scheme to fulfill a completely secure data sharing scheme. To address this problem, in this paper, we propose a secure data sharing scheme with designated server that combines PKE scheme with PEKS scheme, which provides both keyword search and documents encryption/decryption functions. Furthermore, only the designated server can search the keyword via encrypted documents for enhanced security in our work. Moreover, our scheme also satisfies the public verifiability of search results, which includes both keywords and documents ciphertexts’ correctness and integrity. As to the security, our scheme provides stronger indistinguishability security of document and keyword in the proposed security model.

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Section: Related Workmentioning

confidence: 99%

A Secure Data Sharing Scheme with Designated Server

Zhu

Sun

Qin

et al. 2019

Security and Communication Networks

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“…However, PEKS often has much more computation overheads than SSE due to doing paring computations. There are more recent works for improving security [17,18], improving functionality [19,20], and improving performance [21] for the PEKS. Boneh et al showed that PEKS implies IBE [13].…”

Section: Related Work Querying On Encrypted Data Is a Long-termmentioning

confidence: 99%

An Approach Enabling Various Queries on Encrypted Industrial Data Stream

Wang

Yang

Qiu

et al. 2019

Security and Communication Networks

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Massive data are generated and collected by devices in the industrial Internet of Things. Data sources would encrypt the data and send them to the data center through the gateway. For some supervision purpose, the gateway needs to observe the encrypted data stream and label the suspicious data. Instead of decrypting ciphertext at the gateway, which is not efficient, this paper presents a Φ-searchable functional encryption scheme that supports inner product evaluations on encrypted data. Based on this scheme, an approach enabling various queries on the encrypted industrial data stream is proposed. The adaptive security of our proposed underlying functional encryption scheme can be proven under general subgroup decision assumptions, and our scheme has the smaller public key, the smaller secret key, and the smaller ciphertext size compared to the related schemes. In addition, the experimental results show that our proposed scheme is efficient. Especially for the gateway, querying on the encrypted data only needs less than 20ms, which is practical for industrial data stream auditing scenario.

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“…To solve the problem, there are mainly two kinds of measures according to whether or not a trusted third party (TTP) exists. The TTP manages the user's key which helps a user to generate the trapdoor when the user wants to search on the encrypted data from a data owner [35]- [37]. The schemes without TTP usually either need to predetermine the users and pre-compute some parameters by all the users [38]- [40], or let the data owner play a role of TTP [41].…”

Section: A Related Work and Our Contributionsmentioning

confidence: 99%

Public-Key Encryption With Keyword Search via Obfuscation

Liu

Yang

et al. 2019

IEEE Access

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Public-key encryption with keyword search (PEKS) enables users to search on encrypted data, which is applicable to the scenario of sharing data in the cloud storage. In this paper, we focus on how to construct a PEKS scheme via obfuscation. Our basic scheme is built on the differing-inputs obfuscation (diO) and can be considered as an initial attempt to apply diO in the PEKS field. The scheme supports searching on encrypted data by providing to the cloud server an obfuscated simple ''decrypt-then-compare'' circuit with the secret key and the queried keyword hardwired in it. More interestingly, the scheme can be simply improved to resist off-line keyword guessing attacks (KGAs) as the standard PEKS scheme rather than a designated tester one. For complex search conditions, our scheme can be easily extended to multiple functionalities, such as conjunctive and fuzzy keyword search. Furthermore, it can be extended to the PEKS scheme in the multiuser setting. INDEX TERMS Public-key encryption with keyword search, obfuscation, keyword guessing attacks, multiple functionalities, multiuser setting.

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Multiuser Searchable Encryption with Token Freshness Verification

Cited by 11 publications

References 38 publications

A Secure Data Sharing Scheme with Designated Server

A Secure Data Sharing Scheme with Designated Server

An Approach Enabling Various Queries on Encrypted Industrial Data Stream

Public-Key Encryption With Keyword Search via Obfuscation

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