Name
Abstract | ||
|---|---|---|
Searchable symmetric encryption (SSE) is a key technique which enables searching over outsourced encrypted data. Hence, SSE must provide for the functions of effective, secure privacy and usability when searching over outsourced data on the cloud. In this regard, various research into the secure search on cloud data has been done using SSE and searchable public key encryption. In this framework, we leverage a practicable searchable encryption (SE) scheme which supports secure and updatable operations on the cloud. The framework will take into consideration the advantages of both SSE and searchable public key encryption in the construction. We also construct an efficient multi-keyword search scheme using k-nearest neighbor (kNN) and Bloom Filter (BF) to achieve ranked search scheme as well as multi-keyword searching. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/QRS-C.2019.00077 | 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C) |
Keywords | Field | DocType |
cloud computing,searchable encryption,update,multi-keyword search,outsourced data | Symmetric-key algorithm,Bloom filter,Ranking,Computer science,Usability,Encryption,Public-key cryptography,Database,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-7281-3926-5 | 0 | 0.34 |
References | Authors | |
14 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Selasi Kwame Ocansey | 1 | 1 | 0.70 |
| Changda Wang | 2 | 13 | 4.30 |