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• W3132869997 abstract "With the rapid development of mobile applications, more and more traffic is generated at the network’s edge and forwarded between many users. The explosive growth of network traffic has imposed massive pressure on traditional network architectures. At the same time, users have increasing data security requirements because of frequent data breaches. Mobile edge storage is an emerging computing framework that ensures users enjoy a high quality of experience when they access cloud services and is gradually becoming the key technology to solve the above problems. In this paper, by exploiting searchable encryption and cooperative edge computing, we proposed an efficient ciphertext index retrieval scheme to tackle three issues simultaneously in a secure and efficient data search service scenario: (1) reducing data transportation latency to improve mobile user’s quality of experience; (2) mitigating data traffic pressure on the backbone network; (3) guaranteeing the security of the data when users search data in the edge network. Simulation results show that our scheme can save about 80% of backbone network traffic than the traditional cloud computing scheme. It can also reduce network latency by approximately 30% for users." @default.
• W3132869997 created "2021-03-01" @default.
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• W3132869997 date "2021-01-01" @default.
• W3132869997 modified "2023-10-18" @default.
• W3132869997 title "An Efficient Ciphertext Index Retrieval Scheme Based on Edge Computing Framework" @default.
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• W3132869997 doi "https://doi.org/10.1109/access.2021.3061676" @default.
• W3132869997 hasPublicationYear "2021" @default.
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