Designing Privacy-aware Internet of Things Applications

Perera, Charith; Barhamgi, Mahmoud; Bandara, Arosha; Ajmal, Muhammed; Price, Blaine and Nuseibeh, Bashar (2020). Designing Privacy-aware Internet of Things Applications. Information Sciences, 512 pp. 238–257.

DOI: https://doi.org/10.1016/j.ins.2019.09.061

Abstract

Internet of Things (IoT) applications typically collect and analyse personal data that can be used to derive sensitive information about individuals. However, thus far, privacy concerns have not been explicitly considered in software en- gineering processes when designing IoT applications. The advent of behaviour driven security mechanisms, failing to address privacy concerns in the design of IoT applications can have security implications. In this paper, we explore how a Privacy-by-Design (PbD) framework, formulated as a set of guidelines, can help software engineers integrate data privacy considerations into the design of IoT applications. We studied the utility of this PbD framework by studying how software engineers use it to design IoT applications. We also explore the challenges in using the set of guidelines to influence the IoT applications design process. In addition to highlighting the benefits of having a PbD framework to make privacy features explicit during the design of IoT applications, our studies also surfaced a number of challenges associated with the approach. A key find- ing of our research is that the PbD framework significantly increases both novice and expert software engineers’ ability to design privacy into IoT applications.

Viewing alternatives

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

Recommendations