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

18 Dec 2016Francesco ContiRobert SchillingPasquale Davide SchiavoneAntonio PulliniDavide RossiFrank Kagan GürkaynakMichael MuehlberghuberMichael GautschiIgor LoiGermain HaugouStefan MangardLuca Benini

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 stored or sent over the network at various stages of the analytics pipeline. Using encryption to protect sensitive data at the boundary of the on-chip analytics engine is a way to address data security issues... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.