A multi-authority attribute-based encryption access control for social network

Yang, Xiaodong; Yang, Miaomiao; Yang, Ping; Leng, Qi

doi:10.1109/ccsse.2017.8088017

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…For example, some works [21,22] assumed that the service provider is honest and that it has the authority to access the location plaintext without leaking any information to others. Some works [21,23,24] introduced a trusted third party (TTP) to achieve the trade-off between security and efficiency. Unfortunately, there may not exist such a TTP in real MSNs scenarios.…”

Section: Location Privacymentioning

confidence: 99%

“…Let BE = {BE .KeyGen, BE .J oin, BE .E nc, BE .Dec} be a broadcast encryption scheme that retains CPA secure against a coalition of revoked users [22], P = {P.KeyGen, P. E nc, P.Dec} be the Pallier encryption scheme [23], GM = {GM.KeyGen, GM.E nc, GM.Dec} 250 be the Goldwasser-Micali encryption scheme [24], and F : {0, 1} k × {0, 1} * → {0, 1} k be a pseudo-random function. The detailed construction is given as follows:…”

Section: The Detailed Constructionmentioning

confidence: 99%

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Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks

Zhou

et al. 2021

Sensors

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Focusing on the diversified demands of location privacy in mobile social networks (MSNs), we propose a privacy-enhancing k-nearest neighbors search scheme over MSNs. First, we construct a dual-server architecture that incorporates location privacy and fine-grained access control. Under the above architecture, we design a lightweight location encryption algorithm to achieve a minimal cost to the user. We also propose a location re-encryption protocol and an encrypted location search protocol based on secure multi-party computation and homomorphic encryption mechanism, which achieve accurate and secure k-nearest friends retrieval. Moreover, to satisfy fine-grained access control requirements, we propose a dynamic friends management mechanism based on public-key broadcast encryption. It enables users to grant/revoke others’ search right without updating their friends’ keys, realizing constant-time authentication. Security analysis shows that the proposed scheme satisfies adaptive L-semantic security and revocation security under a random oracle model. In terms of performance, compared with the related works with single server architecture, the proposed scheme reduces the leakage of the location information, search pattern and the user–server communication cost. Our results show that a decentralized and end-to-end encrypted k-nearest neighbors search over MSNs is not only possible in theory, but also feasible in real-world MSNs collaboration deployment with resource-constrained mobile devices and highly iterative location update demands.

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Section: Location Privacymentioning

confidence: 99%

Section: The Detailed Constructionmentioning

confidence: 99%

Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks

Zhou

et al. 2021

Sensors

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show abstract

“…• ReKey(D, rk, θ → sk ): Takes as input the attribute component D of the user secret key sk, proxy re-keys having the same version as the user secret key sk and attributes in sk whose proxy re-keys in rk are not 1 and outputs an updated user secret key sk . However, [99]- [102] schemes rely on the centralized multiauthority ABE and hence suffer from the weaknesses of the centralized multi-authority ABE discussed earlier in section IV-D.1.…”

Section: ) Attribute Based Encryption Schemes With Revocationsmentioning

confidence: 99%

“…These result in the additional components contributing to the increase in encryption computation complexity. For the decryption, the decryption computation complexity increases with the number of user attributes except for the YJR [100], FTWLY [97], and YYYL [99] schemes. For the YJR [100], FTWLY [97] and YYYL [99] schemes, a decryption token generated by a server minimizes the decryption computation burden on the user and hence the constant decryption complexity.…”

Section: Computation Complexity Comparison Of Public Domain Abe Schemesmentioning

confidence: 99%

Privacy Provision in Collaborative Ehealth With Attribute-Based Encryption: Survey, Challenges and Future Directions

et al. 2019

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Collaborative eHealth that enables the collection and sharing of patients' data is eliminating the location and accessibility barriers in healthcare service delivery. With advances in technology, patients' data can be collected from anywhere, at any time, stored in a central location, and shared across multiple service providers to improve the quality of healthcare service delivery. Maintaining patients' data privacy during the storage and sharing process is critical for collaborative eHealth success. The attribute-based encryption, which has shown potential in data privacy protection in the cloud, has the necessary ingredients to be used in guarding against privacy violations in collaborative eHealth. In this paper, we survey the different attributebased encryption schemes for usage in collaborative eHealth. We discuss some challenges associated with the use of attribute-based encryption schemes in collaborative eHealth and point out some future research directions. Also, we perform a comparative analysis of the surveyed schemes in terms of security, revocation ability, and efficiency. INDEX TERMS Attribute-based encryption (ABE), collaborative ehealth, electronic health record (EHR), privacy.

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Improvement of an outsourced attribute-based encryption scheme

Chen

Liao

2019

Soft Comput

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A multi-authority attribute-based encryption access control for social network

Cited by 3 publications

References 5 publications

Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks

Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks

Privacy Provision in Collaborative Ehealth With Attribute-Based Encryption: Survey, Challenges and Future Directions

Improvement of an outsourced attribute-based encryption scheme

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