Abstract
The digitalisation of industrial manufacturing needs the support of systems technology to enhance the efficiency of manufacturing operations, product quality, and smart decisions. This digitalisation can be achieved by the industrial internet of things (IIoT). IIoT has played a powerful role in smart manufacturing by performing real-time analysis for a large volume of data. One possible approach to perform these operations in a secure and privacy-preserving manner is to utilise cryptographic solutions. In previous work, we proposed searchable encryption with an access control algorithm for IIoT based on an edge-cloud architecture, namely ELSA. This paper extends ELSA to illustrate the correlation between the number of keywords and ELSA performance. This extension supports annotating records with multiple keywords in trapdoor and record storage and allows the record to be returnable with single-keyword queries. In addition, the experiments demonstrate the scalability and efficiency of ELSA with an increasing number of keywords and complexity.