Canella: Privacy-aware end-to-end integrated IoT development ecosystem

Aljeraisy, Atheer, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346 2023. Canella: Privacy-aware end-to-end integrated IoT development ecosystem. Presented at: IEEE International Conference on Pervasive Computing and Communications, Atlanta, USA, 13-17 March 2023.

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Abstract

Applications for the Internet of Things (IoT) can derive sensitive information about people, so developers must protect users’ privacy in compliance with privacy and data protection laws. However, developers face difficulties in addressing privacy issues as many applications exploit personal data in a problematic manner. We present Canella, an integrated IoT development ecosystem that is augmented with novel privacy-preserving components for developing privacy-aware IoT applications. Canella helps software developers meet privacy requirements during the development phase and during rapid prototyping, and it provides real-time feedback on potential privacy concerns. Canella aims at assisting developers to (i) better understand their code’s behavior, (ii) better overcome privacy issues and comply with privacy and data protection laws, (iii) reduce time to incorporate privacy into an IoT application, and (iv) reduce the cognitive load of integrating privacy into an IoT application. Thus, Canella can result in a significant improvement in building privacy-aware IoT applications.

Item Type:	Conference or Workshop Item (Paper)
Status:	Unpublished
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Date of Acceptance:	5 January 2023
Last Modified:	01 Feb 2023 12:30
URI:	https://orca.cardiff.ac.uk/id/eprint/156343

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