Keyword-based Ciphertext Search Algorithm under Cloud Storage

Ciphertext-Policy Attribute-based Keyword Search with Revocation in Cloud through LSSS Approach

In the cloud computing, attribute-based encryption and public key encryption with keyword search are two popular issues. Ciphertext-policy attribute-based encryption is famous for its fine-grained access control. Keyword Search over encrypted files is an important function in the actual situation. We particularly concern the problem of revocation. Additionally, several solutions of the dynamic ...

Secure Keyword Search with Public Key Encryption by Cloud storage

An Efficient Dictionary and Lingual Keyword based Secure Search Scheme in Cloud Storage

Cloud computing has become the more accepted answer to the current information needs. With today’s enterprises operating across multilingual and multicultural spectrum, cloud computing search algorithms should be upgraded to perform searches based on multilingual languages. Data stored in cloud is in encrypted form this is in order to maintain the data integrity, the data search techniques used...

Ciphertext-policy Hidden Vector Encryption for Multi-User Keyword Search

In cloud computing, large amount of data can be effectively stored and managed. To ensure data security and efficient retrieval, people can encrypt data using searchable encryption (SE) before outsourcing. However, most existing SE schemes only support single-user access, and multi-user SE is required in many enterprise applications. We found that the flexibility and usability of encryption sch...

Secure Keyword Based Search in Cloud Computing: A Review

An effective search that give the better suggestion to the user so that the user can get better choices for the services is also a challenge for cloud computing. Several methods have been given to solve the problem of effective and secure ranked keyword search of cloud data. Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to certain re...