A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data

By Arati Deshmukh, D. S. Singh, P. Sahane. 2016

603 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a2f823c1b0b61817ccbfc4417f366a2812583767

How researchers see this paper

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

1. Jin Li
2. Qiong Huang
3. Xingming Sun
4. Zhangjie Fu
5. Hongbo Li
6. Hui Wang
7. Hui Sun
8. Kui Ren

Citations in the corpus

• An efficient public-key searchable encryption scheme secure against inside keyword guessing attacks (2017, background): “How to efficiently search over encrypted data thus becomes an important and interesting problem, and has attracted many researchers’ attention [7, 23, 42, 38, 31, 16, 34, 21, 17, 15, 32, 40].”
• Firefly algorithm with neighborhood attraction (2017, background): “AC CE PT ED M AN US CR IP T can share computational resources among computers [14, 34, 43].”
• Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement (2016, background): “After that, a lot of schemes [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18] under different applications have been proposed.”
• Privacy-preserving outsourced classification in cloud computing (2017, background): “Therefore, it is important to do some confidential process before outsourcing data and computation to an untrusted cloud server [12–14].”