Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data
Chang Xu, Ruijuan Wang, Liehuang Zhu, Chuan Zhang, Rongxing Lu and, Kashif Sharif

TL;DR
This paper introduces a novel dynamic searchable symmetric encryption scheme that ensures strong privacy-preserving conjunctive keyword search, eliminating result pattern leakage and improving efficiency by scaling with keyword update frequency.
Contribution
It presents the first DSSE scheme that achieves strong privacy for conjunctive search, eliminating KPRP leakage and reducing search complexity based on keyword update frequency.
Findings
Eliminates keyword pair result pattern leakage
Maintains forward and backward privacy
Achieves efficient search scaling with update frequency
Abstract
Searchable symmetric encryption (SSE) supports keyword search over outsourced symmetrically encrypted data. Dynamic searchable symmetric encryption (DSSE), a variant of SSE, further enables data updating. Most DSSE works with conjunctive keyword search primarily consider forward and backward privacy. Ideally, the server should only learn the result sets involving all keywords in the conjunction. However, existing schemes suffer from keyword pair result pattern (KPRP) leakage, revealing the partial result sets containing two of query keywords. We propose the first DSSE scheme to address aforementioned concerns that achieves strong privacy-preserving conjunctive keyword search. Specifically, our scheme can maintain forward and backward privacy and eliminate KPRP leakage, offering a higher level of security. The search complexity scales with the number of documents stored in the database…
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Taxonomy
TopicsCryptography and Data Security · Chaos-based Image/Signal Encryption · Privacy-Preserving Technologies in Data
