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

Abstract

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