Citation :

Shyamsing Thakur, Lalitrao Amrutsagar, Narendra Shyam Joshi, Dipali. B. Tawar, Alok Suresh Shah, "Multi-Keyword-Based Techniques for Secure Ranked Data Searching in Encrypted Cloud," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 5, pp. 263-275, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I5P118

Abstract

With the rapid growth of cloud computing, efficient data retrieval mechanisms over encrypted storage have become increasingly desired. Nevertheless, conducting multi-keyword ranked search over encrypted cloud data is nontrivial due to the computation overhead, limited scalability, and privacy concerns. We present a new construction for Secure Multi-Keyword Ranked Search built on top of an encrypted hierarchical tree-based index structure coupled with a Greedy Depth-First Search (GDFS) traversal strategy. Under a semi-honest threat model, our system provides efficient top-k document retrieval without disclosing information about the documents. Experiments on a benchmark of 86K documents validate that the proposed method provides higher precision, recall, and lower query latency over the traditional method. The designed framework provides optimal security and performance, which can be applied to large-scale encrypted cloud search.

Keywords

Cloud Data Security; Multi-Keyword Search; Greedy Depth-First Search; Privacy-Preserving Search; Encrypted Indexing; Knn-Based Similarity.

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