@INPROCEEDINGS {10150254,
author = {A. Aljeraisy and O. Rana and C. Perera},
booktitle = {2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
title = {Canella: Privacy-Aware End-to-End Integrated IoT Development Ecosystem},
year = {2023},
volume = {},
issn = {},
pages = {279-281},
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 ad-dressing privacy issues as many applications exploit personal data in a problematic manner. We present Canella, an inte-grated 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. See the demo video (https://iotgarage.net/projects/demos/AtheerPerCom2023Demo)},
keywords = {pervasive computing;privacy;conferences;ecosystems;data protection;rapid prototyping;software},
doi = {10.1109/PerComWorkshops56833.2023.10150254},
url = {https://doi.ieeecomputersociety.org/10.1109/PerComWorkshops56833.2023.10150254},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {mar}
}