An Efficient Tate Pairing Algorithm for a Decentralized Key-Policy Attribute Based Encryption Scheme in Cloud Environments

Chandrasekaran, Balaji; Ramasamy, Balakrishnan

doi:10.3390/cryptography2030014

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…Then, Zeng et al introduced a conditional PRE scheme [6] to achieve fine-grained data sharing delegation. Attribute-based encryption was introduced into cloud computing to achieve fine-grained access control over outsourced encrypted data [7]- [10]. The problem of how to enable a semi-trusted cloud to compute between ciphertexts while guaranteeing the privacy of the encrypted data has also attracted significant attention [11], [12].…”

Section: ) Cloud Securitymentioning

confidence: 99%

Secure Data Sharing and Search for Cloud-Edge-Collaborative Storage

Tao

Jin

2020

IEEE Access

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Cloud-edge-collaborative storage (CECS) is a promising framework to process data of the internet of things (IoT). It allows edge servers to process IoT data in real-time and stores them on a cloud server. Hence, it can rapidly respond to the requests of IoT devices, provide a massive volume of cloud storage for IoT data, and conveniently share IoT data with users. However, due to the vulnerability of edge and cloud servers, CECS suffers from the risk of data leakage. Existing secure CECS schemes are secure only if all edge servers are trusted. In other words, if any edge server is compromised, all cloud data (generated by IoT devices) will be leaked. Additionally, it is costly to request expected data from the cloud, which is linear with respect to the number of edge servers. To address the above problems, we propose a new secure data search and sharing scheme for CECS. Our scheme improves the existing secure CECS scheme in the following two ways. First, it enables users to generate a public-and-private key pair and manage private keys by themselves. In contrast, the existing solution requires edge servers to manage users' private keys. Second, it uses searchable public-key encryption to achieve more secure, efficient, and flexible data searching. In terms of security, our scheme ensures the confidentiality of cloud data and secure data sharing and searching and avoids a single point of breakthrough. In terms of performance, the experimental results show that our scheme significantly reduces users' computing costs by delegating most of the cryptographic operations to edge servers. Especially, our scheme reduces the computing and communication overhead for generating a search trapdoor compared with the existing secure CECS scheme. INDEX TERMS Cloud-edge-collaborative storage, data sharing, data search, searchable encryption.

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