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An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

Francesco Conti, Robert Schilling, Pasquale Davide Schiavone, Antonio Pullini, Davide Rossi, Frank Kagan Gurkaynak, Michael Muehlberghuber, Michael Gautschi, Igor Loi, Germain Haugou, Stefan Mangard, Luca Benini
2017 IEEE Transactions on Circuits and Systems Part 1: Regular Papers  
Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is  ...  To cope with the combined workload of analytics and encryption in a tight power envelope, we propose Fulmine, a System-on-Chip based on a tightly-coupled multi-core cluster augmented with specialized blocks  ...  The cluster features a set of peripherals including a direct memory access (DMA) engine, an event unit, and a timer.  ... 
doi:10.1109/tcsi.2017.2698019 fatcat:x5o4ec64gnbirpxyqvor2swi7a