Ciphertext-Policy Attribute-Based Encryption with User and Authority Accountability

Zhang, Xing; Jin, Cancan; Liu, Cong; Wen, Zilong; Shen, Qingni; Fang, Yuejian; Wu, Zhonghai

doi:10.1007/978-3-319-28865-9_27

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…The main difference between ours and the works of Rouselakis and Waters 8 and Zhang et al 24 is that we add 3q − 1 more terms, includ-…”

Section: Assumptionsmentioning

confidence: 81%

“…We use a new q ‐type assumption that is similar to the q − 1 assumption in the works of Rouselakis and Waters and Zhang et al. The main difference between ours and the works of Rouselakis and Waters and Zhang et al is that we add 3 q − 1 more terms, including

((), g^{a^{q + 2}}, ⋯, g^{a^{3 q + 1}})

and

((), g^{1 false/ a}, ⋯, g^{1 false/ a^{q - 1}})

, into our assumption. In Section 6.2, we will succinctly show our modified q ‐type assumption is generically secure.…”

Section: Preliminariesmentioning

confidence: 99%

“…We use a new q-type assumption that is similar to the q − 1 assumption in the works of Rouselakis and Waters 8 and Zhang et al 24 .…”

Section: Assumptionsmentioning

confidence: 99%

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A practical construction for large universe hierarchical attribute‐based encryption

Fang

Xing

et al. 2016

Concurrency and Computation

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Summary We present a practical large universe hierarchical attribute‐based encryption (LU‐HABE) scheme, which supports monotone access structures. In our system, key generation centers (KGCs), any one in which is labeled by a unique identity, are organized as a hierarchical structure. Thus, all secret keys issued by the KGC contain 2 parts: the identity‐related one and the attribute‐related one. Once the data owner wants to encrypt his/her data, he/she needs to specify certain numbers of pairs according to his/her demand. The pair consists of an identity of a KGC and a policy of attributes managed by the corresponding KGC, eg, IDi and (Mi, ρi). If and only if an identity associated with user's secret key is equal to or is an ancestor of one of the identities appearing in ciphertext, and simultaneously a set of attributes belonging to the user satisfies the policy, the user can decrypt it successfully. Our scheme is proved to be selectively secure in the standard model under the modified “q‐type” assumption similar to the ones used in former works and is extended to support online/offline encryption. To show the efficiency of our construction, we implement our original scheme and the extended one in Charm. Analyses show that both of them are very practical.

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“…The main difference between ours and the works of Rouselakis and Waters 8 and Zhang et al 24 is that we add 3q − 1 more terms, includ-…”

Section: Assumptionsmentioning

confidence: 81%

((), g^{a^{q + 2}}, ⋯, g^{a^{3 q + 1}})

and

((), g^{1 false/ a}, ⋯, g^{1 false/ a^{q - 1}})

, into our assumption. In Section 6.2, we will succinctly show our modified q ‐type assumption is generically secure.…”

Section: Preliminariesmentioning

confidence: 99%

See 1 more Smart Citation

A practical construction for large universe hierarchical attribute‐based encryption

Fang

Xing

et al. 2016

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [15], abuse-free attribute enabled Access Control (AC) is developed for producing data security to the cloud users and authors present a very primitive idea for dealing with the AC system. In [20], the cipher-text policy system driven access control system was introduced, which enhanced the accountability of both the communicating parties. However, this scheme supported only a selective model for security.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud

Khatiwada

Bhusal

Chatterjee

et al. 2020

2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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Healthcare data in cloud computing facilitates the treatment of patients efficiently by sharing information about personal health data between the healthcare providers for medical consultation. Furthermore, retaining the confidentiality of data and patients' identity is a another challenging task. This paper presents the concept of an access control-based (AC) privacy preservation model for the mutual authentication of users and data owners in the proposed digital system. The proposed model offers a highsecurity guarantee and high efficiency. The proposed digital system consists of four different entities, user, data owner, cloud server, and key generation center (KGC). This approach makes the system more robust and highly secure, which has been verified with multiple scenarios. Besides, the proposed model consisted of the setup phase, key generation phase, encryption phase, validation phase, access control phase, and data sharing phase. The setup phases are run by the data owner, which takes input as a security parameter and generates the system master key and security parameter. Then, in the key generation phase, the private key is generated by KGC and is stored in the cloud server. After that, the generated private key is encrypted. Then, the session key is generated by KGC and granted to the user and cloud server for storing, and then, the results are verified in the validation phase using validation messages. Finally, the data is shared with the user and decrypted at the user-end. The proposed model outperforms other methods with a maximal genuine data rate of 0.91.

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Accountable Large-Universe Attribute-Based Encryption Supporting Any Monotone Access Structures

Zhang

Jin

Zheng

et al. 2016

Lecture Notes in Computer Science

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Ciphertext-Policy Attribute-Based Encryption with User and Authority Accountability

Cited by 6 publications

References 23 publications

A practical construction for large universe hierarchical attribute‐based encryption

A practical construction for large universe hierarchical attribute‐based encryption

A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud

Accountable Large-Universe Attribute-Based Encryption Supporting Any Monotone Access Structures

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