Secured Data Management and Infrastructures in Smart Aquaculture

Abstract

To support UN sustainable development goals (UNSDGs), as well as Singapore “30 by 30” vision (to meet 30% of food supply nutrition by 2030 through local produce), this project implemented a Secured Smart Fish Feeder system through data acquisition, data pre-processing, IoT wireless technology (LoRA and MQTT) together with cellular solutions. To resolve power management issues, distance and coverage issues, data size issues, a new data application frame and transmission method are created to support this. At the same time, appropriate cipher AES/ASCON was used to secure the connections. Last but not least, the system is designed with a data management frame and dashboarding to support the over command and control of the system.