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A check and alert service based on IoT
- 1. A Check and Alert Service based on IoT Jaejin Jang
- 2. • Introduction • Related Work • A Check And Alert Service based On IoT - A Scheme of Check and Alert - A Security Model for the Proposed personal service • Implementation & Evaluation • Conclusion • Q&A
- 3. Intro Related Service Conclusion Bring convenient Implementation
- 4. Intro Related Service Conclusion Comes near our lives Implementation
- 5. Intro Related Service Conclusion Paradoxically, People require to keep in mind more things. Implementation
- 6. Intro Related Service Conclusion So we proposed the service based on IoT Implementation
- 7. Intro Related Service ConclusionImplementation S. De, P. Barnaghi, M. Bauer, S. Meissner, 2011 “Service Modelling for the Internet of Things” S. Clayman and A. Galis, 2011 “INOX: a managed service platform for interconnected smart object platforms”, B. Xu, L. D. Xu, H. Cai, C. Xie, J. Hu and F. Bu, 2014 “Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Service”
- 8. Intro Related Service ConclusionImplementation Janggwan Im, Seonghoon Kim and Daeyoung Kim, 2013 “IoT Mashup as a Service: Cloud-Based Mashup Service for the Internet of Things”, C. L. Hu, H. T. Huang, C. L. Lin, N. H. M. Anh, Y. Y. Su and P. C. Liu, “Design and Implementation of Media Content Sharing Services in Home-based IoT Networks”, 2013
- 9. Intro Related Service Conclusion Setter Applier Eventhandlerè CheckandAlert Set events and event handler, applier, the things or the tasks to be checked ① Setter ② Event handler ③ Applier Implementation
- 10. Intro Related Service Conclusion ① Setter : select applier, set up event and event handler ② Event handler : manage events ③ Applier : be informed from event handler Implementation
- 11. Intro Related Service ConclusionImplementation ① Set events • turn off the TV • turn off the light • close the door • close the gas valve, etc. ② Select Event handler • porch ③ Select Applier • Smart phone
- 12. Intro Related Service ConclusionImplementation ① Set events • Identify mutually the thing each other ② Select Event handler & Applier • phone : vibrate or ring • watch : display or ring • shoes : vibrate • • •
- 13. Intro Related Service ConclusionImplementation Need Security model for person serviceThings
- 14. Intro Related Service ConclusionImplementation Bluetooth Low Energy(BLE) is widely used for Near Field Communication. But the advertising/discovery mechanism has no message encryption. So we supplement the advertising/discovery mechanism for personal service.
- 15. Intro Related Service ConclusionImplementation We designed security model based on Bluetooth 4.2 which is newest version of Bluetooth Because it can support IPSP(Internet Protocol Service Profile) ① Server ② Things ③ Applier
- 16. Intro Related Service ConclusionImplementation ① Server : have a information table about things and appliers. It plays a role as a bridge of key distribution. The server receives from things and sends them to the appropriate authorized appliers. ② Things : generates a key and send it to the server for the events Which will happen. When an event happens, the server broadcasts an advertisement message encrypted by the key. ③ Applier : represents an authorized thing for event. When an event Happens in the thing, only the applier receives the key from the Server So that the applier can check the event message
- 17. Intro Related Service Implementation Conclusion • AES CBC Encryption 128 - https://www.bluetooth.org/enus/specification/ • Bluez – Bluetooth protocol stack - http://www.bluez.org/ • Advertising time interval is 0.5s • Raspberry 2, Bluetooth Dongle CSR 4.0
- 18. Intro Related Service Implementation Conclusion
- 19. Show just small overhead Intro Related Service Implementation Conclusion
- 20. We proposed a Check and Alert Service based on IoT. And we designed security model for person services. It showed that out model can securely provide personal service. And the overhead for the service is very small. We think that more security features could be supplemented Because IoT devices are being produce with their high performance components. So it is enough to adapt advanced security features. Intro Related Service Implementation Conclusion
- 21. Intro Related Service ConclusionImplementation
- 22. Intro Related Service ConclusionImplementation
Editor's Notes
- “Service Modelling for the Internet of Things” present a semantic modelling approach for different components in an IoT framework. Because IoT has heterogeneous objects. So based on the Web Ontology Language – Description Logic(OWL-DL)(for instance, http://www.geonames.org/ontology/documentation.html), They IoT model. “INOX : a managed service platform for interconnected smart object platforms” show service management platform. The main concept of the platform is based on modern Autonomic Network Management. So they provide the functionality which allows for better use of the sensors, things and the smart objects through Enhanced application developments, more flexible service deployments, virtualized elements, and better service management. ‘Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Service” present the system for emergency medical services to Demonstrate how to collect, integrate, and interoperate IoT data flexibly in order to provide support to emergency medical services. The system use resource-based IoT data accessing method which is effective in a distributed heterogeneous data environment.
- “Design and Implementation of Media Content Sharing Services in Home-based IoT Networks”, shows Media Content Sharing service in home-based IoT Networks. This system integrates face recognition, intelligent human-machine interface and family database technologies. Using face recognition and family database prevent a human not of member access the Services. “IoT Mashup as a Service: Cloud-Based Mashup Service for the Internet of Things” present Cloud-based Mashup service for IoT environment. Based on Cloud concepts, they overcome heterogeneity of device by following the model driven architecture principles and computational scalability based on Cloud computing paradigm.