Ontology driven AI and Access Control Systems for Smart Fisheries-Reference-Cited by-同舟云学术

Ontology driven AI and Access Control Systems for Smart Fisheries

Published:2021-04-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems
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Author:

Chukkapalli Sai Sree Laya¹,Aziz Shaik Barakhat²,Alotaibi Nouran²,Mittal Sudip²,Gupta Maanak³,Abdelsalam Mahmoud⁴

Affiliation:

1. University of Maryland Baltimore County, Baltimore , MD, USA

2. University of North Carolina Wilmington, Wilmington, NC, USA

3. Tennessee Technological University, Cookeville, TN, USA

4. Manhattan College, Bronx, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3445969.3450429

Reference49 articles.

1. [n.d.]. An inventory of new technologies in fisheries. https://www.oecd.org/greengrowth/GGSD_2017_Issue%20Paper_New%20technologies%20in%20Fisheries_WEB.pdf. [n.d.]. An inventory of new technologies in fisheries. https://www.oecd.org/greengrowth/GGSD_2017_Issue%20Paper_New%20technologies%20in%20Fisheries_WEB.pdf.

2. 2019. Felt so violated: 'Milwaukee couple warns hackers are outsmarting smarthomes. https://www.fox6now.com/news/felt-so-violated-milwaukee-couple-warns-hackers-are-outsmarting-smart-homes. 2019. Felt so violated: 'Milwaukee couple warns hackers are outsmarting smarthomes. https://www.fox6now.com/news/felt-so-violated-milwaukee-couple-warns-hackers-are-outsmarting-smart-homes.

3. Peek-a-boo

4. Water Quality Monitoring Using Wireless Sensor Networks

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