Publication: Emergency Service for Smart Home System Using Ethereum Blockchain: System and Architecture
Issued Date
2019-03-01
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2-s2.0-85068013694
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Mahidol University
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SCOPUS
Bibliographic Citation
2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019. (2019), 888-893
Suggested Citation
Thitinan Tantidham, Yu Nandar Aung Emergency Service for Smart Home System Using Ethereum Blockchain: System and Architecture. 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019. (2019), 888-893. doi:10.1109/PERCOMW.2019.8730816 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/50639
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Title
Emergency Service for Smart Home System Using Ethereum Blockchain: System and Architecture
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Abstract
© 2019 IEEE. Due to emerging disruptive technologies, Internet of Things (IoT) play a vital role for smart living domains, for examples, elderly and disabilities healthcare services and home safety and security monitoring and automation control services. These systems will send automatically an emergency call with home user information and location as a privacy data to public services like hospitals, police offices, or fire departments. This paper introduces emergency service for a Smart Home System (SHS) based on Ethereum blockchain with smart contract for decentralized handling access control among untrusted public services so called Home Service Providers (HSPs) and smart home IoT devices. Our SHS testbed consists of (1) smart home sensor manger equipped with Raspberry Pi (RPi) represented as an edge IoT gateway for gathering environmental sensor data, (2) HSP miners deployed Meteor and Ethereum platform, and (3) web-based applications for home users and HSP staffs. Furthermore, our contribution includes the integration of digital signature for the IoT device authentication, the One Time Passcode with QR code for HSP staff access control, and IPFS for manipulating emergency call from SHS in peers. Our implementation results focusing on HSP miners will be presented and analysed.