Abstract: In the contemporary landscape characterized by extensive data utilization, cloud computing has emerged as a novel computing paradigm that facilitates the sharing of computing resources via the internet. The defining features of cloud computing include on-demand self-service, location-independent network access, ubiquitous network connectivity, and a pay-per-use model. These appealing attributes have led both private and public organizations to outsource substantial volumes of data to cloud storage solutions. Consequently, organizations are increasingly motivated to transition their data from local environments to centralized commercial public cloud servers. By outsourcing their data to the cloud, users can alleviate the burdens associated with storage maintenance. However, despite the numerous advantages of migrating data to cloud storage, significant security concerns arise, causing data owners to hesitate when it comes to transferring sensitive information. This situation results in a shift of data control towards cloud service providers. To address these security challenges, data owners are compelled to encrypt their data prior to outsourcing. While encryption enhances data security, it simultaneously diminishes data efficiency, as searching through encrypted data proves to be complex. Traditional search techniques applicable to plaintext data cannot be utilized for encrypted data. Current solutions primarily support exact keyword searches, lacking support for semantic searches. In this project, we propose a semantic multi-keyword ranked search system that incorporates verifiable outsourced decryption. To enhance search efficiency, this system integrates semantic search capabilities through the implementation of fuzzy search techniques.

Keywords: Encryption, sensitive, multi-keyword, service providers.

| DOI: 10.17148/IJIREEICE.2018.699