A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data

Abstract

This research proposes a novel scheme for secure and dynamic multi-keyword ranked search over encrypted data stored in a cloud environment. The scheme addresses the critical challenge of enabling efficient searches while preserving data confidentiality and integrity. Utilizing advanced cryptographic techniques, the system allows users to retrieve ranked search results based on multiple keywords without revealing the search keywords or the underlying data to the cloud server. The proposed solution enhances search performance compared to existing methods through optimized indexing and search algorithms. Evaluation results demonstrate significant improvements in search efficiency and security, making it suitable for various sensitive data applications.

Introduction

The increasing reliance on cloud storage necessitates secure and efficient mechanisms for data retrieval. Traditional search methods over encrypted data are often inefficient and lack the ability to handle multi-keyword queries with ranking. Existing solutions either compromise security or sacrifice search performance. This research addresses this gap by developing a scheme that provides both security and efficiency for multi-keyword ranked searches. The key challenge lies in balancing the computational overhead of cryptographic operations with the need for fast and accurate search results, especially in dynamic environments where data updates are frequent. Existing methods often struggle with scalability and real-time performance when handling complex multi-keyword queries.

Objectives

• Develop a secure multi-keyword ranked search scheme that protects both data and search keywords.
• Improve search efficiency compared to existing methods, particularly for large datasets and dynamic updates.
• Ensure scalability and adaptability to handle various data types and query complexities.