Secure Ranked Keyword Search over Encrypted Cloud Data

By Ning Cao, Jin Li, Kui Ren, Wenjing Lou. IEEE International Conference on Distributed Computing Systems, 2010

964 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/031b3ed201fd1028c98f4653da5961d8361d7f1f

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. Kui Ren
2. Wenjing Lou
3. Xingming Sun
4. Ning Cao
5. Ming Li
6. Shucheng Yu
7. Bing Wang
8. Xiaodong Lin

In Computational Theory and Mathematics

1. Xingming Sun
2. Kui Ren
3. Wenjing Lou
4. Shucheng Yu
5. Lei Yang
6. N. Xiong
7. Pan Yang
8. Jingli Ren

Citations in the corpus

• Achieving usable and privacy-assured similarity search over outsourced cloud data (2012, background): “Very recently, secure ranked search over outsourced cloud data, which further facilitates search result relevance ranking, has been studied in the settings of single keyword [22] and multi-keyword search [23], respectively.”
• Enabling Secure and Efficient Ranked Keyword Search over Outsourced Cloud Data (2012, background): “Portions of the work presented in this paper have previously appeared as an extended abstract in [1].”
• Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud (2014, methodology): “In terms of level of privacy protection, we consider two threat models depending on the information available to the cloud server, which are also used in other related works [8], [17].”
• Authorized Private Keyword Search over Encrypted Data in Cloud Computing (2011, background): “Searchable encryption (SE) has been proposed as a better solution [35], [18], [10], [15], [36], [13]; informally speaking, a user submits a “capability” encoding her query to the server, who searches through the encrypted keyword indexes created by the owners, and returns a subset of encrypted…”
• Efficient Similarity Search over Encrypted Data (2012, background): “As an alternative to heavyweight oblivious RAM, there are approaches ( [1]–[8]) to selectively leak information (e.g., search pattern and access pattern) to provide practical searchable encryption schemes.”
• Toward Efficient Multi-Keyword Fuzzy Search Over Encrypted Outsourced Data With Accuracy Improvement (2016, methodology): “[26] proposed a searchable symmetric encryption scheme to achieve the keyword search.”
• Security and Privacy in the Internet of Things (2017, background): “During the past decade, many provably secure SSE schemes [56, 147, 48, 94, 93, 118, 47, 81, 135] have been proposed, which make trade-offs among security, search performance and storage overhead by exploring static- [56, 147, 48] and dynamic datasets [94, 93, 118, 47, 81, 135] as well as various dat”
• Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data (2014, background): “Our early works [25], [26] solve secure ranked keyword search which utilizes keyword frequency to rank results instead of returning undifferentiated results.”
• Privacy-preserving multi-keyword ranked search over encrypted cloud data (2011, background): “Our early work [22] has been aware of this problem, and”
• Data Security and Privacy Protection for Cloud Storage: A Survey (2020, background): “In order to improve the efficiency of searchable encryption and make the files matched by key-words more satisfy the interests of users, Wang et al. [82] proposed the ranked searchable symmetric encryption scheme, where documents retrieved by single-keyword search will be ranked via relevance.”
• Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, methodology): “In symmetric searchable encryption, some works extended single keyword search and Boolean query to support various search patterns, including fuzzy keyword search [166] and ranked keyword search [167].”
• 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.”
• Order-Preserving Encryption Revisited: Improved Security Analysis and Alternative Solutions (2011, background): “Despite its authors’ warning of lingering unanswered questions, the OPE scheme from [8] immediately received attention from the applied community [21, 20, 18, 17, 14].”
• Secure and practical outsourcing of linear programming in cloud computing (2011, background): “, [14], [15]), either because it intends to do so or because”