Jin‐Chuan SeeKai‐Ming MokWai‐Kong LeeHock Guan Goh2024-10-232024-10-232020-05-04https://doi.org/10.1002/cta.2797https://dspace-cris.utar.edu.my/handle/123456789/4474<jats:title>Summary</jats:title><jats:p>Industrial Internet of Things (IIoT) is an emerging technology that relies on the use of massively connected sensor nodes to gather industrial‐related data. The collected data are used for postanalysis to generate insights for reducing production down time, cost optimization, and predictive maintenance. One of the key requirements for sensor node in such application is the data confidentiality; as such sensor data may potentially leak the manufacturing and industrial secret to their competitors. In this paper, a field programmable gate array (FPGA)‐based sensor node with Advanced Encryption Standard (AES) crypto‐processor is proposed to safeguard the sensor data. A novel queue system is proposed to further reduce the data processing time and energy consumption. The proposed queue system is able to achieve 1.48× speed up and ∼16% energy reduction, which makes it a competitive candidate for Industrial IoT applications. The technique developed in this paper can also be extended to implement FPGA‐based gateway with encryption feature, which is very useful for edge computing in IoT applications.</jats:p>journal-article