Secured Data Management and Infrastructures in Smart Aquaculture

被引：1

作者：

Dylan, Koh ^{[1
]}

Shan, Gui Tan ^{[2
]}

Eldrick, Xie ^{[2
]}

Hwa, Li Tiong ^{[2
]}

Mark, Khoo ^{[2
]}

Nam, Chern Yap ^{[2
]}

机构：

[1] Temasek Polytech, Sch Informat & IT, CyberSecur & Digital Forens, Singapore, Singapore

[2] Temasek Polytech, Sch Engn, Adv Mfg Ctr, Singapore, Singapore

来源：

2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOPS (ICDEW 2022) | 2022年

关键词：

Smart Aquaculture; Internet of Things; Cyber Security; Data Management;

D O I：

10.1109/ICDEW55742.2022.00012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：54 / 59

页数：6

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