Privacy Preserving Digital Agriculture

Project Member(s): Piccardi, M., Abolhasan, M., Lipman, J., Shariati Moghadam, N., Franklin, D.

Funding or Partner Organisation: Food Agility CRC Limited (Food Agility CRC)
Food Agility CRC Limited (Food Agility CRC)

Start year: 2022

Summary: This project has 3 workpackages covering varying aspects of Privacy and Security Preservation in Digital Agriculture.

Publications:

Zhou, I, Tofigh, F, Piccardi, M, Abolhasan, M, Franklin, D & Lipman, J 2024, 'Secure Multi-Party Computation for Machine Learning: A Survey', IEEE Access, vol. 12, pp. 53881-53899.
View/Download from: Publisher's site

Makhdoom, I, Abolhasan, M, Franklin, DR, Lipman, J, Zimmermann, C, Piccardi, M & Shariati, N 2023, 'Detecting compromised IoT devices: Existing techniques, challenges, and a way forward.', Comput. Secur., vol. 132, pp. 103384-103384.
View/Download from: Publisher's site

FOR Codes: Data and information privacy, Information and Communication Services, Cybersecurity, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.