Nowadays, many technological advances applied to the Internet of Things (IoT) make the introduction of innovative sensors aimed to deploy efficient wireless sensor networks possible. In order to improve the environment and people’s lives, real time analysis of certain environmental variables may favour the reduction of health risks related to the deterioration of air quality. To this respect, the proposed system implements a particular prototype of IoT device characterized by the assembly of ambient sensors capable of measuring pollutant gases, temperature and humidity. For this purpose, Raspberry Pi and Arduino platforms are used. Several security methods are introduced to ensure the integrity of air quality data by implementing Merkle Trees on each IoT node and on the Cloud server. Besides, the authenticity of IoT devices and the confidentiality of communications are guaranteed by implementing HTTPS requests. Finally, authentication tokens are used to identify system users, and different security rules are applied to manage database operations.
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Research supported by the Spanish Ministry of Science, Innovation and Universities, the FEDER Fund, the Centre for the Development of Industrial Technology and the CajaCanarias Foundation, under Projects RTI2018-097263-B-I00, C2017/3-9, IDI-20160465 and DIG02-INSITU.
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Rodríguez-Pérez, N., Toledo-Castro, J., Caballero-Gil, P. et al. Secure ambient intelligence prototype for airports. J Ambient Intell Human Comput (2020) doi:10.1007/s12652-020-01683-y
- Air quality
- Wireless sensor networks
- Merkle trees