Canella: Privacy-Aware End-to-End Integrated IoT Development Ecosystem

Atheer Aljeraisy, Omer F. Rana, Charith Perera
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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 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)
Canella:隐私意识的端到端集成物联网开发生态系统
物联网(IoT)应用程序可以获取有关人的敏感信息,因此开发人员必须遵守隐私和数据保护法律来保护用户的隐私。然而,由于许多应用程序以有问题的方式利用个人数据,开发人员在解决隐私问题方面面临困难。我们介绍了Canella,这是一个集成的物联网开发生态系统,它增强了用于开发隐私感知物联网应用的新型隐私保护组件。Canella帮助软件开发人员在开发阶段和快速原型设计期间满足隐私需求,并提供潜在隐私问题的实时反馈。Canella旨在帮助开发人员(i)更好地理解他们的代码行为,(ii)更好地克服隐私问题并遵守隐私和数据保护法,(iii)减少将隐私整合到物联网应用程序中的时间,以及(iv)减少将隐私整合到物联网应用程序中的认知负荷。因此,Canella可以在构建具有隐私意识的物联网应用方面取得重大进展。参见演示视频(https://iotgarage.net/projects/demos/AtheerPerCom2023Demo)
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