This study explores the concept of a Public Key Encryption Scheme (PKES) with an emphasis on enabling keyword search functionality. The aim this research is to develop cryptographic framework that allows users securely over encrypted data without revealing sensitive information. investigates various methods and techniques employed in PKES achieve efficient privacy-preserving capabilities. highl...

Recently, a great deal of attention has been focusing on processing keyword search over XML and XML streams. The keyword search is simple and provides a user-friendly way of retrieving required data from an XML data. Though its popularity, there is a concern over its efficiency. For this reason, several methods have been proposed to enable keyword search over XML streams. However, most of them ...

Cloud computing is a technology that uses the internet and central remote servers to keep up data and applications. As becomes more mature, many organizations and individuals are attracted in storing more accessible data e.g. personal data files, company related information in the cloud. This technology allows for much more efficient computing by centralizing storage, memory, processing and ban...

Cloud computing uses internet and central remote servers to maintain data and applications. This allows much more efficient computing by centralizing storage, memory, procession and bandwidth. The data is stored in off-premises and accessing this data through keyword search. Traditional keyword search was based on plaintext keyword search. But for protecting data privacy the sensitive data shou...

Most keyword search approaches for data-centric XML documents are based on the computation of Lowest Common Ancestors (LCA), such as SLCA and MLCA. In this paper, we show that the LCA is not always a correct search model for processing keyword queries over general XML data. In particular, when an XML database contains relationships among objects, which is quite common in practical data, LCA-bas...