Alexander Krumpholz, Marthie Grobler, Raj Gaire, Claire Mason, Shanae Burns (CSIRO Data61)

With more devices connected to the internet, collecting and sharing data using the Internet of Things (IoT) is an exciting prospect for many food supply chain stakeholders and consumers. However, new technologies introduce significant real and perceived security and privacy concerns that are hindering broader adoption of these technologies. While many of these risks can be mitigated through advanced privacy preservation technologies and security practices, we hypothesized that participants in primary industry supply chains have limited knowledge of these tools. By investigating perceptions and attitudes towards data sharing and privacy preserving tools, we hoped to reveal how communication strategies could be targeted to address this barrier to usable security in data sharing and digital food supply chains. To this end, we carried out pilot interviews and conducted a survey of Australian food supply chain stakeholders to explore: (1) current data sharing practices and the attitudes of food supply chains participants towards such practices, and (2) the perception towards privacy preserving techniques. We found that the extent of data sharing differs among different food supply chains. In general, participants in these supply chains were cautiously positive about the potential for data sharing. They also report that they were developing more trust in privacy preserving technologies as a tool for managing data sharing risk. An issue that emerged was the perception that the effort required to engage with data sharing platforms outweighs the benefits derived from them. Furthermore, the benefits of data sharing were not seen to be evenly distributed across the supply chain. These findings provide useful direction for progressing the adoption of digital supply chains.

View More Papers

Google/Apple Exposure Notification Due Diligence

Douglas Leith and Stephen Farrell (Trinity College Dublin)

Read More

Security When it is Welcome: Exploring Device Purchase as...

Simon Parkin (University College London); Elissa M. Redmiles (University of Maryland); Lynne Coventry (Northumbria University); M. Angela Sasse (Ruhr University Bochum and University College London)

Read More

FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data

Junjie Liang (The Pennsylvania State University), Wenbo Guo (The Pennsylvania State University), Tongbo Luo (Robinhood), Vasant Honavar (The Pennsylvania State University), Gang Wang (University of Illinois at Urbana-Champaign), Xinyu Xing (The Pennsylvania State University)

Read More

DNS Privacy Vs : Confronting protocol design trade offs...

Mallory Knodel (Center for Democracy and Technology), Shivan Sahib (Salesforce)

Read More