KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage

Li, Jiguo; Lin, Xiaonan; Zhang, Yichen; Han, Jinguang

doi:10.1109/tsc.2016.2542813

Cited by 275 publications

(175 citation statements)

References 23 publications

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“…Fan et al proposed to quantify privacy leakage of software from four metrics (possibility, severity, crypticity, and manipulability) and further composited these four metrics into a comprehensive metric. Besides, the development of information encryption technology provide privacy and security for data communication on the network . Freudiger et al proposed a method of quantifying location privacy in an external anonymity updating, then through the two‐step non‐cooperative game model to dynamically adjust mix‐zones and improve the privacy.…”

Section: Related Workmentioning

confidence: 99%

Computational habitual privacy

Han

Liu

Wang

2018

Trans Emerging Tel Tech

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Privacy has gradually developed into a serious concern. Although some privacy protection mechanisms are available, it is still a prerequisite to develop an objective and universal evaluation criterion. In fact, we have to know how much the privacy quantity has been already exposed through a human‐understandable way. For this purpose, we proposed a series of brand‐new concepts about so‐called “habitual privacy” to quantitatively analyze privacy exposure behavior. It should be emphasized that habitual privacy is an inherent property of the user and is correlated with their habitual behaviors. Joint privacy quantity is a measurement of the exposed privacy of two habitual behaviors occurring simultaneously on the same occasion. Moreover, cumulative privacy is the accumulative quantity of privacy exposure within a considerable temporal and/or spatial interval. The presented computing framework has been applied to four different empirical data sets. These data sets consisted of massive sample sets obtained from moving trajectories, Bluetooth connections, velocity preferences, and call data records. The results disclosed the characteristics hidden in different conditions of the presented quantification framework and showed the effects of combinations of various related parameters. The proposed computational habitual privacy quantity is expected to establish a theoretical cornerstone for the design of more effective and efficient privacy protection mechanisms.

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Section: Related Workmentioning

confidence: 99%

Computational habitual privacy

Han

Liu

Wang

2018

Trans Emerging Tel Tech

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“…Unlike in asymmetric settings, securely encapsulating a single keyword/index is nearly trivial in symmetric settings. In these schemes and subsequent work [8][9][10][11], researchers focus on how to handle full text indices and try to improve efficiency. Another line of work uses deterministic encryption [8,12].…”

Section: Related Workmentioning

confidence: 99%

Efficient Asymmetric Index Encapsulation Scheme for Anonymous Content Centric Networking

Ma¹,

Cao²,

Wang³

2017

Security and Communication Networks

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Content Centric Networking (CCN) is an effective communication paradigm that well matches the features of wireless environments. To be considered a viable candidate in the emerging wireless networks, despite the clear benefits of locationindependent security, CCN must at least have parity with existing solutions for confidential and anonymous communication. This paper designs a new cryptographic scheme, called Asymmetric Index Encapsulation (AIE), that enables the router to test whether an encapsulated header matches the token without learning anything else about both of them. We suggest using the AIE as the core protocol of anonymous Content Centric Networking. A construction of AIE which strikes a balance between efficiency and security is given. The scheme is proved to be secure based on the DBDH assumption in the random oracle with tight reduction, while the encapsulated header and the token in our system consist of only three elements.

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“…However, in the constructed access tree, each leaf node indicates that the keyword‐related attributes are exposed to a semitrusted cloud storage server. Li et al proposed the outsourced attribute‐based encryption with keyword search function outsourced ABE (KSF‐OABE) scheme. It introduced 3 cloud storage servers that are used to store data, generate keywords, and partially decrypt operations.…”

Section: Introductionmentioning

confidence: 99%

“…Although it finally assigns a large number of decryption calculations to the offline part, the relative two times encryption and decryption greatly increases the computational overhead. However, the access attributes in previous works are too transmitted in plaintext. An attribute‐keyword based data publish‐subscribe (AKPS) scheme is used to realize the privacy protection of data publish and subscribe, but the access attributes of the users is not blinded, it can cause the collusion attacks of the CSS and the users.…”

Section: Introductionmentioning

confidence: 99%

“…An attribute‐keyword based data publish‐subscribe (AKPS) scheme is used to realize the privacy protection of data publish and subscribe, but the access attributes of the users is not blinded, it can cause the collusion attacks of the CSS and the users. Thus, the schemes of other works exist some security risks. The comparison of the current main based on CP‐ABE searchable encryption schemes are summarized in Table .…”

Section: Introductionmentioning

confidence: 99%

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A based on blinded CP‐ABE searchable encryption cloud storage service scheme

Cao

Zhang

Dong³

et al. 2018

Int J Communication

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Summary Cloud computing has great economical advantages and wide application, more and more data owners store their data in the cloud storage server (CSS) to avoid tedious local data management and insufficient storage resources. But the privacy of data owners faces enormous challenges. The most recent searchable encryption technology adopts the ciphertext‐policy attribute‐based encryption (CP‐ABE), which is one good method to deal with this security issue. However, the access attributes of the users are transmitted and assigned in plaintext form. In this paper, we propose a based on blinded CP‐ABE searchable encryption cloud storage service (BCP‐ABE‐SECSS) scheme, which can blind the access attributes of the users in order to prevent the collusion attacks of the CSS and the users. Data encryption and keyword index generation are performed by the data owners; meanwhile, we construct that CSS not only executes the access control policy of the data but also performs the pre‐decryption operation about the encrypted data to solve higher time cost of decryption calculation to the data users. Security proof results show that this scheme has access attribute security, data confidentiality, indistinguishable security against chosen keyword attack, and resisting the collusion attack between the data user and the CSS. Performance analysis and the experimental results show that this scheme can effectively reduce the computation time cost of the data owners and the data users.

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KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage

Cited by 275 publications

References 23 publications

Computational habitual privacy

Computational habitual privacy

Efficient Asymmetric Index Encapsulation Scheme for Anonymous Content Centric Networking

A based on blinded CP‐ABE searchable encryption cloud storage service scheme

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