Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network massive device connectivity with ultra‐low latency requirement. The cutting edge technologies artificial intelligence, quantum machine learning, millimetre enable hyper‐connectivity extend development of mobile communication. potential utilise different computing infrastructures, on‐demand software, platforms, intelligence access a amount data in real‐time. delivery real‐time demands third‐party remote exploit resources service storage meet user requirements. Moreover, certain infrastructures cloud, edge, fog recommend privacy protection guarantee effective information retrieval by centre. As result, multi‐keyword searching over encrypted cloud is commonly exercised retrieve integrity. With use computing, generating IoT can easily outsource any kind complex management system from local system. It may commercialise site achieve better resource‐saving. However, are expected ensure using encryption techniques before sensitive outsourced via devices. Thus, this paper presents synonym‐based ranked search order solve privacy‐preserving computation cost. proposed mechanism constructs an m‐Way tree allot index vector for each document which applies depth‐first compute top score ranking realise efficiency. examination results show that assumed vectors be subdivided into sub‐vectors storing them security