Verifiable Privacy-Preserving Multi-Keyword Text Search in the Cloud Supporting Similarity-Based Ranking

By Wenhai Sun, Bing Wang, Ning Cao, Ming Li, Wenjing Lou, Yiwei Thomas Hou, Hui Li. IEEE Transactions on Parallel and Distributed Systems, 2013

605 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/524641883e52017104fcab2d9081d40fa78b2713

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xingming Sun
2. Xinhui Wang
3. Zhihua Xia
4. Zheng Yan
5. Zhangjie Fu
6. Zhan Qin
7. Athanasios V. Vasilakos
8. Kui Ren

In Computer Vision and Pattern Recognition

1. Kui Ren
2. N. Xiong
3. Zheng Yan
4. Athanasios V. Vasilakos
5. Chin-chen Chang
6. Xinhui Wang
7. Pan Yang
8. Xingming Sun

Citations in the corpus

• A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data (2016, methodology): “Due to the special structure of our tree-based index, the proposed search scheme can flexibly achieve sublinear search time and deal with the deletion and insertion of documents.”
• Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement (2016, background): “The new contributions in this paper compared with [11], [12], [13], [14], [15], [16], [19], [32], [33] are summarized as follows: 1) For the first time, we explore the problem of personalized multi-keyword ranked search over encrypted cloud data.”
• A Survey of Verifiable Computation (2017, background): “Traditional schemes [26, 27, 32, 34] require lots of preprocessing phases before the computation of function F can be delegated to the cloud.”
• Data Security and Privacy Protection for Cloud Storage: A Survey (2020, background): “Verifiable searchable encryption has been designed [74] to ensure the privacy of keyword and handle the threat from a semi-honest but curious server.”
• Blockchain based searchable encryption for electronic health record sharing (2019, methodology): “However, existing verifiable searchable encryption schemes [12-16] do not support this property, because the user already paid before the server starts searching.”
• Toward Efficient Multi-Keyword Fuzzy Search Over Encrypted Outsourced Data With Accuracy Improvement (2016, neutral): “vector, such as in [2] and [3].”
• A Privacy-Preserving and Copy-Deterrence Content-Based Image Retrieval Scheme in Cloud Computing (2016, methodology): “These are basic assumptions in the buyer-seller protocols [28], [29], [48]–[50] and the SSE schemes [2]–[4], [6]–[9], [12]–[14], [22]–[27], [33].”