KSC 2019
Current Result Document : 212 / 212
| 한글제목(Korean Title) |
Industrial Internet of Things: A Provenance-based Solution for Monitoring Food Products |
| 영문제목(English Title) |
Industrial Internet of Things: A Provenance-based Solution for Monitoring Food Products |
| 저자(Author) |
Sabah Suhail
Shashi Raj Pandey
Choong Seon Hong
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| 원문수록처(Citation) |
VOL 46 NO. 02 PP. 0245 ~ 0247 (2019. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In the food industry, manufacturing, processing, packaging, and transportation of food products are critical processes as it requires continuous monitoring of the environmental factors (for instance, temperature) that may affect the quality of food. Any deviation in the ambient temperature may make the ingredients or the food items hazardous for consumption. To deal with such situations in the industries, sensors connected to the Internet are collectively characterized as Industrial Internet of Things (IIoT). The connected things are responsible for tracking the location of the food item and monitoring quality throughout the process. However, IIoT faces two primary challenges. Firstly, how the information is stored and managed to make it available to all entities involved in the food industry. Secondly, how to track and trace food items as it passes through different processing phases. To answer these questions, we propose an approach to maintain a complete log of sensor data along with complete provenance information. We use IOTA distributed ledger technology (DLT) to share data transparently among all participating entities. We use the Masked Authenticated Messaging (MAM) protocol to provide data confidentially, data integrity, and restricted data accessibility. Finally, we simulate the proposed scheme on the Raspberry PI 3B IoT platform and evaluate its performance in terms of attaching and retrieving sensor data, along with provenance information at different time intervals.
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| 키워드(Keyword) |
DLT
IOTA
IoT
IIoT
Message Authenticated Messaging
sensor
provenance
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| 파일첨부 |
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