Secured Multi-Keyword Search In Decentralized Environment

Privacy concerns have become paramount in distributed systems where sensitive data is often stored and processed across multiple nodes. One significant challenge in such systems is enabling efficient keyword-based search while maintaining data confidentiality. This paper presents a novel approach to address this challenge through Privacy-Preserving Multi-Keyword Searchable Encryption (PPMKSE). Our proposed method allows users to securely search over encrypted data distributed across multiple nodes without compromising privacy. By leveraging cryptographic techniques such as symmetric-key encryption and secure index structures, our scheme ensures that only authorized users can access search results while preventing unauthorized parties, including service providers and malicious actors, from compromising the confidentiality of the stored data. We provide a comprehensive analysis of the security and efficiency of our approach, demonstrating its effectiveness in protecting sensitive information in distributed systems. Through extensive experimental evaluation, we validate the performance of our solution, showcasing its practicality and scalability for real-world deployment. Our work contributes to enhancing the privacy and security of distributed systems, paving the way for the adoption of privacy-preserving techniques in data storage and retrieval scenarios.