Ontology driven AI and Access Control Systems for Smart Fisheries

Increasing number of smart devices has paved a path for smarter ecosystems in various sectors such as agriculture, aquaculture, etc. Especially, integrating technologies like big data, artificial intelligence (AI), etc. with smart devices has increased productivity. Therefore, fishery farmers have started adopting technologies to manage their fish farms. Despite their technological advancements, smart fisheries are vulnerable to cyber-attacks that would cause a heavy loss. Therefore, we present a smart fisheries ecosystem where the architecture describes various interactions that happen between smart 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 smart fisheries. Furthermore, we elaborate on some AI applications that would enhance the smart fisheries.