A Multi-attribute Keyword Retrieval Mechanism for Encrypted Cloud Data

A Review on Multi-Keyword Based Image Retrieval System for Encrypted Image Data Stored On Cloud

In recent years, cloud computing has become an advanced area, particularly due to its potential merits and applications. Also CBIR has become the active research topic in the area of computer science in past few years. In order to realize the cloud computing, many constraints are associated out of which multi-keyword search and privacy preserving are one of them. To enhance the use of data util...

Fuzzy retrieval of encrypted data by multi-purpose data-structures

The growing amount of information that has arisen from emerging technologies has caused organizations to face challenges in maintaining and managing their information. Expanding hardware, human resources, outsourcing data management, and maintenance an external organization in the form of cloud storage services, are two common approaches to overcome these challenges; The first approach costs of...

Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data

Multi-keyword Similarity Search over Encrypted Cloud Data

Searchable encryption allows one to upload encrypted documents on a remote honest-but-curious server and query that data at the server itself without requiring the documents to be decrypted prior to searching. In this work, we propose a novel secure and efficient multi-keyword similarity searchable encryption (MKSim) that returns the matching data items in a ranked ordered manner. Unlike all pr...

Multi-attribute Fuzzy Keyword Retrieval Method for Secure Data Service in Cloud Computing

With the increasing demand of cloud services, it is a very difficult problem to retrieve the encrypted data and provide effective data services for users. In order to resolve these problems, we propose a new method for multiattribute fuzzy keyword based on encryption data. Experiments show that this method not only can effectively improve the accuracy of the data retrieval, but also can greatly...