An Advanced Keyword Searching Model with Data Security in Cloud Computing

Abstract

The growing popularity of cloud computing has necessitated the development of more efficient and secure methods of searching and retrieving data from cloud storage. In this paper, we propose an advanced keyword-searching model that ensures data security in cloud computing environments. To ensure data confidentiality and safety, our model employs advanced encryption techniques such as symmetric-key, homomorphic, and attribute-based encryption. Also, this study introduces an optimized indexing technique using a binary search algorithm to reduce search time and improve search efficiency. Furthermore, our model employs a secure multi-party computation approach to enable fast computation between multiple parties while keeping private information private. Using a benchmark dataset, this study demonstrates that the proposed model achieves high accuracy and efficiency while maintaining data security. The proposed model can be used in various applications, such as healthcare, finance, and ecommerce, where sensitive data must be securely stored and retrieved. The proposed model provides an efficient and secure solution for keyword searching in cloud computing environments.