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V14 N2 Paper 8
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Annals of the MS in Computer Science and Information Systems at
UNC Wilmington
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Fall 2020
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Secure Smart Fishing using Attribute Based Access Control
Shaik Aziz
Committee
Abstract
The increasing number of internet-connected devices has paved a path for smarter ecosystems in various sectors such as agriculture, aquaculture, manufacturing, healthcare, etc. Especially, integrating technologies like big data, Artificial Intelligence (AI), blockchain, etc. with internet-connected devices has increased efficiency and productivity. Therefore, aqua farmers have started adopting smart fisheries technologies to better manage their fish farms. Despite their technological advancements smart fisheries are exposed and vulnerable to cyber-attacks that would cause a negative impact on the ecosystem both physically and economically. As less emphasis is laid on securing the smart sensors that are connected through the internet. Therefore, in this document, we present a smart fisheries ecosystem where the architecture describes various interactions that happen between internet-connected devices. We develop a smart fisheries ontology based on the architecture and implement Attribute Based Access Control System (ABAC) where access to resources of smart fisheries is granted by evaluating the requests. We also discuss how access control decisions are made in multiple use case scenarios of a smart fisheries ecosystem. Furthermore, we elaborate on some AI applications that would enhance the smart fisheries ecosystem.
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Recommended Citation:
Aziz, S., Mittal, S, Clark, U., Dogan, G. (2020) Secure Smart Fishing using Attribute Based Access Control. Annals of the Master of Science in Computer Science and Information Systems at UNC Wilmington, 14(2) paper 8. http://csbapp.uncw.edu/data/mscsis/full.aspx.
|
V14 N2 Paper 8
|
Annals of the MS in Computer Science and Information Systems at
UNC Wilmington
|
Fall 2020
|
