2020년 컴퓨터종합학술대회
Current Result Document :
| 한글제목(Korean Title) |
Track and Trace Solutions to Combat Counterfeiting in Healthcare Supply Chain |
| 영문제목(English Title) |
Track and Trace Solutions to Combat Counterfeiting in Healthcare Supply Chain |
| 저자(Author) |
Sabah Suhail
Shashi Raj Pandey
Choong Seon Hong
|
| 원문수록처(Citation) |
VOL 47 NO. 01 PP. 0925 ~ 0927 (2020. 07) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
In the healthcare supply chain, manufacturing, processing, packaging, and transportation of medical equipment are critical processes as it requires continuous monitoring of the environmental factors (for instance, temperature, humidity, pressure) that may affect the quality of sensitive healthcare equipment or pharmaceuticals and tracking of equipment to thwart counterfeiting during various supply chain processes. To automate the monitoring and tracking processes, sensors play a significant role in the Industrial Internet of Things (IIoT). However, IIoT faces two main challenges. Firstly, how to store and manage the information in a distributed and decentralized way thereby making it available to all participating entities in the healthcare supply chain. Secondly, how to trace back the origin of healthcare equipment as it passes through different supply chain phases. In this paper, we propose a provenance-based approach to maintain comprehensive information about the healthcare equipment staring from its manufacturing phase until its distribution phase. To solve the aforementioned challenges, we use IOTA distributed ledger technology (DLT) to achieve distributed and decentralized data among all participating entities. We use the Masked Authenticated Messaging (MAM) protocol to facilitate data confidentially, data integrity, and data accessibility. Finally, we simulate the proposed scheme on the Raspberry PI 3B IoT platform and evaluate its performance in terms of latency and energy consumption during attaching and fetching data, along with provenance information at different time intervals. |
| 키워드(Keyword) |
Blockchain
Counterfeit
DLT
IOTA
IoT
Message Authenticated Messaging
sensor
supply chain
provenance
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| 파일첨부 |
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