Key Aggregate Cryptosystem in Data Sharing in Cloud Performance

Sharing data using cloud storage has become a prominent part of a lives therefore, it is necessary to be able to share data to the people we choose and which data we choose. In this article, Key Aggregate Cryptosystem scheme, a public key encryption scheme which produces fixed-size cipher texts [1], is studied comprehensively along with its application in sharing data by users across cloud platform. KAC provides efficient and flexible delegation of keys for sharing selective data using single aggregated key without compromising on other data stored in cloud. The scheme is implemented using python file integrated in the backend of a website, which is in Django and the cloud storage used is Amazon S3. The data is stored in buckets and can be accessed using the website. Users can also upload and download their data from the website, or even share after uploading on the cloud.

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Lattice-based searchable public-key encryption scheme for secure cloud storage

International Journal of Web and Grid Services ◽

10.1504/ijwgs.2018.088357 ◽

2018 ◽

Vol 14 (1) ◽

pp. 3 ◽

Cited By ~ 2

Author(s):

Run Xie ◽

Chunxiang Xu ◽

Chanlian He ◽

Xiaojun Zhang

Keyword(s):

Cloud Storage ◽

Public Key ◽

Encryption Scheme ◽

Public Key Encryption ◽

Searchable Public Key Encryption ◽

Secure Cloud Storage

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A Secure Data Sharing Scheme with Designated Server

Security and Communication Networks ◽

10.1155/2019/4268731 ◽

2019 ◽

Vol 2019 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

Binrui Zhu ◽

Jiameng Sun ◽

Jing Qin ◽

Jixin Ma

Keyword(s):

Data Sharing ◽

Keyword Search ◽

Public Key ◽

Public Key Encryption ◽

Cloud Platform ◽

Sharing Scheme ◽

Outsourced Data ◽

Secure Data ◽

Encryption Decryption ◽

Designated Server

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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Efficient Public Key Encryption with Disjunctive Keywords Search Using the New Keywords Conversion Method

Information ◽

10.3390/info9110272 ◽

2018 ◽

Vol 9 (11) ◽

pp. 272 ◽

Cited By ~ 1

Author(s):

Yu Zhang ◽

Yin Li ◽

Yifan Wang

Keyword(s):

Cloud Storage ◽

Keyword Search ◽

Public Key ◽

Inner Product ◽

Encryption Scheme ◽

Public Key Encryption ◽

Encrypted Data ◽

Bilinear Groups ◽

Time And Space Complexity ◽

Selection Of

Public key encryption with disjunctive keyword search (PEDK) is a public key encryption scheme that allows disjunctive keyword search over encrypted data without decryption. This kind of scheme is crucial to cloud storage and has received a lot of attention in recent years. However, the efficiency of the previous scheme is limited due to the selection of a less efficient converting method which is used to change query and index keywords into a vector space model. To address this issue, we design a novel converting approach with better performance, and give two adaptively secure PEDK schemes based on this method. The first one is built on an efficient inner product encryption scheme with less searching time, and the second one is constructed over composite order bilinear groups with higher efficiency on index and trapdoor construction. The theoretical analysis and experiment results verify that our schemes are more efficient in time and space complexity as well as more suitable for the mobile cloud setting compared with the state-of-art schemes.

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