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

Awakening the Web's Sleeper Agents: Misusing Service Workers for...

Soroush Karami (University of Illinois at Chicago), Panagiotis Ilia (University of Illinois at Chicago), Jason Polakis (University of Illinois at Chicago)

Read More

From WHOIS to WHOWAS: A Large-Scale Measurement Study of...

Chaoyi Lu (Tsinghua University; Beijing National Research Center for Information Science and Technology), Baojun Liu (Tsinghua University; Beijing National Research Center for Information Science and Technology; Qi An Xin Group), Yiming Zhang (Tsinghua University; Beijing National Research Center for Information Science and Technology), Zhou Li (University of California, Irvine), Fenglu Zhang (Tsinghua University), Haixin Duan…

Read More

Reining in the Web's Inconsistencies with Site Policy

Stefano Calzavara (Università Ca' Foscari Venezia), Tobias Urban (Institute for Internet Security and Ruhr University Bochum), Dennis Tatang (Ruhr University Bochum), Marius Steffens (CISPA Helmholtz Center for Information Security), Ben Stock (CISPA Helmholtz Center for Information Security)

Read More

Experimental Evaluation of a Binary-level Symbolic Analyzer for Spectre:...

Lesly-Ann Daniel (CEA List), Sébastien Bardin (CEA List, Université Paris-Saclay), Tamara Rezk (INRIA)

Read More