Internet of things (IoT)

Immersive & Data-Driven Sustainable Cities and Communities

Immersive & Data-Driven Sustainable Cities and Communities

IDSCC – Immersive & Data-Driven Sustainable Cities and Communities Group focuses on advancing research and innovation at the intersection of data science, immersive technologies, and urban sustainability. The group investigates how large-scale, heterogeneous data - ranging from citizen-generated data, IoT sensor streams, mobility traces, and environmental indicators to cultural, social, and economic datasets - can be transformed into actionable intelligence that supports resilient, inclusive, and human-centric cities and communities.

Design for Phygital Technolgies

Design for Phygital Technolgies

Negli ultimi decenni, i prodotti e servizi innovativi sempre più spesso sono determinati da un intreccio tra reale e virtuale, spostando l’attenzione dell’utente tra canali per raggiungere esperienze qualitativamente diversa dalle esperienze puramente fisici o digitali. Prodotti tangibili che si personalizzano digitalmente, o che integrano sensori e attuatori collegati in rete – dal tailor made digitale al wearable tecnologie.

Wireless Internet of Things and Security - WINGS

Wireless Internet of Things and Security - WINGS

Il gruppo di ricerca si occupa di wireless networking per l'Internet of Things. Si studiano e sviluppano soluzioni per l'inteconnessione wireless di sistemi IoT con particolare enfasi sui protocolli "Low Power" quali Bluetooth Low Energy (BLE) e LoRaWAN.

Secure double rate registers as an RTL countermeasure against power analysis attacks

Power analysis attacks (PAAs), a class of side-channel attacks based on power consumption measurements, are a major concern in the protection of secret data stored in cryptographic devices. In this paper, we introduce the secure double rate registers (SDRRs) as a register-transfer level (RTL) countermeasure to increase the security of cryptographic devices against PAAs. We exploit the SDRR in a conventional advanced encryption standard (AES)-128 architecture, improving the immunity of the cryptographic hardware to the state-of-the-art PAAs.

Learning and management for internet of things. Accounting for adaptivity and scalability

Internet of Things (IoT) envisions an intelligent infrastructure of networked smart devices offering task-specific monitoring and control services. The unique features of IoT include extreme heterogeneity, massive number of devices, and unpredictable dynamics partially due to human interaction. These call for foundational innovations in network design and management. Ideally, it should allow efficient adaptation to changing environments, and low-cost implementation scalable to a massive number of devices, subject to stringent latency constraints.

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