REACTS: robust encrypted search for dynamic spatial-textual data with permission control

Abstract The proliferation of spatial-textual data applications has created significant challenges in securely managing such data within untrusted cloud environments. Existing encrypted spatial-textual data retrieval schemes primarily focus on static data and overlook the complexities of practical data updates, particularly lacking robustness in managing irrational updates. In this paper, we introduce a novel robust dynamic encrypted spatial-textual data search scheme, called , that enhances existing systems by addressing the challenges of security and robustness in data dynamic settings. This is the first scheme to simultaneously achieve forward security, Type-I $$^-$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mo>-</mml:mo> </mml:mmultiscripts> </mml:math> backward security, and enhanced robustness for boolean range queries on spatial-textual data. We formally define the security model and classify three levels of robustness. Our customized Asymmetric Scalar-Product-Preserving Encryption (ASPE) design incorporates an “update check mechanism” can efficiently mitigate repeated and disruptive update attacks while supporting efficient search and update permission control. Experimental evaluations demonstrate that only maintains 100% precision and recall while showing practical search efficiency, even outperforming the existing static scheme with a similar ASPE-based approach.