Grant no. 609094 REliable, Resilient and secUre IoT for sMart city applications 1.

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Presentation transcript:

Grant no REliable, Resilient and secUre IoT for sMart city applications 1

Grant no RERUM key tangible outcomes  Zolertia RE-Mote  RD-Adaptor  IoT Gateway  Smart Transportation application 2

Grant no Zolertia RE-Mote  “The new platform for IoT research”  Built from RERUM’s requirements  Increase MCU performance 32-bit, ARM-Cortex® M3 MCU, 512kB Flash, with AES- 128/256, SHA2, ECC-256 & RSA  Low-power consumption  More RAM/volatile memory (32KB)  More external storage memory (removable SD-card)  Communication interfaces improved (dual 2.4GHz, sub-GHz interface + USB) 3

Grant no Zolertia RE-Mote  Supports:  Contiki OS (ported within RERUM),  RIOT OS,  OpenWSN,  FreeRTOS,  Others 4

Grant no RD-Adaptor  Collection of CoAP resources  Abstracts the interface between applications and the OS  Abstracts the interface between GW and RD  Sources in Contiki  Resources for:  Device status and device sensors  Network statistics  External sensors, i.e. temperature, humidity, current, voltage, noise, air quality, weather, etc. 5

Grant no IoT Gateway  Connects RDs with the MW  Network and protocol translation (CoAP/http, IPv4/IPv6)  Decryption/decompression of measurements  Java implementation  Extensible and flexible porting to other MWs (i.e. Sociotal)  Lightweight implementation (runs in laptop/PC or in a RPi 2)  Implementation on an SDR device for multi-technology support (802.11, ) 6

Grant no Smart Transportation app  Implementation in Android  Gathers and transmits traffic information in a privacy preserving way 7  Local Geo-fencing  Data minimization  Privacy preserving sampling  mobility detection  no local data storage  no IDs  Auth. token integration  MW Integration  traffic estimation visualization

Grant no Smart Transportation app 8 Local Geo-fencing User app

Grant no Smart Transportation app  Web application 9