Comparison of Privacy Preserving Single-Keyword Search and Multi-Keyword Ranked Search Techniques over Encrypted Cloud Data

Privacy Preserving Ranked Keyword Search over Encrypted Cloud Data

We present a scheme that discusses secure rank based keyword search over an encrypted cloud data. The data that has to be outsourced is encrypted using symmetric encryption algorithm for data confidentiality. The index file of the keyword set that has to be searched is outsourced to the local trusted server where the keyword set that is generated from the data files is also stored. This is done...

An Efficient and Privacy-Preserving Semantic Multi-Keyword Ranked Search over Encrypted Cloud Data

As so much advantage of cloud computing, more and more data owners centralize their sensitive data into the cloud. With a mass of data files stored in the cloud server, it is important to provide keyword based search service to data user. However, in order to protect the data privacy, sensitive data is usually encrypted before outsourced to the cloud server, which makes the search technologies ...

Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data

A Note on One Privacy-Preserving Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data

We show that the scheme [IEEE TPDS, 25(1), 2014, 222-233] fails, because the introduced similarity scores do not represent the true similarities between the indexing vectors and the querying vector. The returned documents by the cloud server are not indeed related to the queried keywords.

Privacy-preserving Multi-keyword Ranked Search over Encrypted Cloud Data Supporting Dynamic Update

With the development of cloud computing, the sensitive information of outsourced data is at risk of unauthorized accesses. To protect data privacy, the sensitive data should be encrypted by the data owner before outsourcing, which makes the traditional and efficient plaintext keyword search technique useless. Hence, it is an especially important thing to explore secure encrypted cloud data sear...