Public Key Encryption with Conjunctive Keyword Search and Its Extension to a Multi-user System

By Yong Ho Hwang, Pil Joong Lee. Pairing-Based Cryptography, 2007

494 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/70c31752fb6c49b64be1861cb0941e13932af8b0

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. Ming Li
4. Ning Cao
5. Xingming Sun
6. Shucheng Yu
7. Xinhui Wang
8. Zhihua Xia

In Computational Theory and Mathematics

1. Kui Ren
2. Wenjing Lou
3. Shucheng Yu
4. Ning Cao
5. Bing Wang
6. Xuemin Shen
7. Xiaodong Lin
8. Xinhui Wang

Citations in the corpus

• Secure Ranked Keyword Search over Encrypted Cloud Data (2010, methodology): “As an attempt to enrich query predicates, conjunctive keyword search over encrypted data have also been proposed in [19]–[21].”
• Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud (2014, methodology): “works which supported the conjunctive keyword search, subset search, range queries were using the asymetric encryption [5]–[7].”
• A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data (2016, background): “So far, abundant works have been proposed under different threat models to achieve various search functionality, such as single keyword search, similarity search, multi-keyword boolean search, ranked search, multi-keyword ranked search, etc. Page 142 IEEE document frequency (IDF)” model are…”
• Authorized Private Keyword Search over Encrypted Data in Cloud Computing (2011, background): “An exception is Hwang and Lee’s work [20], who proposed a public key encryption scheme with conjunctive search (PECK) with main applications to group email filtering.”
• Enabling Secure and Efficient Ranked Keyword Search over Outsourced Cloud Data (2012, background): “have also been proposed in [26], [27], [28].”
• Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “Consequently, many expansions, such as keyword search with a designated tester [172], public key encryption with conjunctive keywords search [173] have been proposed to satisfy different properties in real applications.”
• Verifiable Privacy-Preserving Multi-Keyword Text Search in the Cloud Supporting Similarity-Based Ranking (2013, background): “range queries [13], [14], [15], but they are too computationally intensive to be implemented for practical use.”
• Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data (2014, methodology): “To enrich search functionalities, conjunctive keyword search [16], [17], [18], [19], [20] over encrypted data have been proposed.”
• Privacy-preserving multi-keyword ranked search over encrypted cloud data (2011, methodology): “To enrich search functionalities, conjunctive keyword search [14]–[18] over encrypted data have been proposed.”