Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data

Walmart (United States) · City University of Hong Kong · +3 more institutions

Indexed incrossref

Abstract

With the advent of cloud computing, data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. Related works on searchable encryption focus on single…

Citation impact

1,257
total citations
FWCI
150.25
Percentile
100%
References
43
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Cloud computing
  • Encryption
  • Plaintext
  • Outsourcing
  • Information retrieval
  • Information privacy
  • Nearest neighbor search
No related works found for this paper.

Funding