计算机科学
可扩展性
加密
GSM演进的增强数据速率
云计算
密码学
边缘计算
体积热力学
数据库
分布式计算
计算机网络
计算机安全
操作系统
人工智能
量子力学
物理
作者
Jawhara Aljabri,Anna Lito Michala,Jeremy Singer
标识
DOI:10.1109/dsc54232.2022.9888846
摘要
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.
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