In the wake of increasing natural disasters and emergency situations, the deployment of Smart Environments with automatic voice interaction systems has become vital for efficient disaster recovery efforts. However, the widespread adoption of such systems raises significant concerns about user privacy and data security. This paper proposes a novel privacy-oriented architecture tailored explicitly for building automatic voice interaction systems in Smart Environments, designed to address the privacy challenges inherent in disaster recovery scenarios. The proposed architecture emphasizes the implementation of robust privacy-preserving mechanisms, ensuring that sensitive user data remains secure and inaccessible to unauthorized entities. To demonstrate the practicality and effectiveness of the proposed architecture, a proto-type voice interaction system was developed and deployed in a simulated environment. The system's performance is evaluated against traditional architectures, showcasing its superior ability to safeguard user privacy while delivering accurate and responsive voice-based services.

Privacy-Oriented Architecture for Building Automatic Voice Interaction Systems in Smart Environments in Disaster Recovery Scenarios

Antonio Francesco Gentile;Davide Macri;Emilio Greco;Agostino Forestiero
2023

Abstract

In the wake of increasing natural disasters and emergency situations, the deployment of Smart Environments with automatic voice interaction systems has become vital for efficient disaster recovery efforts. However, the widespread adoption of such systems raises significant concerns about user privacy and data security. This paper proposes a novel privacy-oriented architecture tailored explicitly for building automatic voice interaction systems in Smart Environments, designed to address the privacy challenges inherent in disaster recovery scenarios. The proposed architecture emphasizes the implementation of robust privacy-preserving mechanisms, ensuring that sensitive user data remains secure and inaccessible to unauthorized entities. To demonstrate the practicality and effectiveness of the proposed architecture, a proto-type voice interaction system was developed and deployed in a simulated environment. The system's performance is evaluated against traditional architectures, showcasing its superior ability to safeguard user privacy while delivering accurate and responsive voice-based services.
2023
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Disaster Recovery
Privacy-preserving
Rasp-berry Pi
Service Continuity
Speech engine
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/492023
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