Performance of secure boot in embedded systems C Profentzas, M Günes, Y Nikolakopoulos, O Landsiedel, M Almgren 2019 15th International conference on distributed computing in sensor …, 2019 | 32 | 2019 |
MiniLearn: On-Device Learning for Low-Power IoT Devices. C Profentzas, M Almgren, O Landsiedel EWSN, 1-11, 2022 | 22 | 2022 |
Performance of deep neural networks on low-power IoT devices C Profentzas, M Almgren, O Landsiedel Proceedings of the workshop on benchmarking cyber-physical systems and …, 2021 | 15 | 2021 |
TinyEVM: Off-Chain Smart Contracts on Low-Power IoT Devices C Profentzas, M Almgren, O Landsiedel 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 15 | 2020 |
IoTLogBlock: Recording Off-line Transactions of Low-Power IoT Devices Using a Blockchain C Profentzas, M Almgren, O Landsiedel The 44th IEEE Conference on Local Computer Networks (LCN), 2019 | 13 | 2019 |
Studying routing issues in vanets by using ns-3 C Profentzas Alexander Technological Educational Institute of Thessaloniki in November, 2012 | 8 | 2012 |
Microtl: Transfer learning on low-power IoT devices C Profentzas, M Almgren, O Landsiedel 2022 IEEE 47th Conference on Local Computer Networks (LCN), 1-8, 2022 | 4 | 2022 |
Enhancing Trust in IoT Transactions Using Blockchains and Smart Contracts P Christos Chalmers University of Technology, 2020 | 1* | 2020 |
Verified Boot in IoT Devices with Low Power Consumption C Profentzas Proceedings of the IDEA League Doctoral School on Transiently Powered …, 2017 | 1 | 2017 |
Self-Reliance for the Internet of Things: Blockchains and Deep Learning on Low-Power IoT Devices C Profentzas PQDT-Global, 2022 | | 2022 |
Verified boot in embedded systems with hard boot time constraints M Günes, C Profentzas | | 2017 |