Secure ambient intelligence prototype for airports

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.

[1]  José Pascual Molina,et al.  Ambient Intelligence Environment for Home Cognitive Telerehabilitation , 2018, Sensors.

[2]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[3]  Xuemin Shen,et al.  An Efficient Merkle-Tree-Based Authentication Scheme for Smart Grid , 2014, IEEE Systems Journal.

[4]  Juan M. Corchado,et al.  Agents and ambient intelligence: case studies , 2010, J. Ambient Intell. Humaniz. Comput..

[5]  Pino Caballero-Gil,et al.  Self-Organized Clustering Architecture for Vehicular Ad Hoc Networks , 2015, Int. J. Distributed Sens. Networks.

[6]  Ralph C. Merkle,et al.  Protocols for Public Key Cryptosystems , 1980, 1980 IEEE Symposium on Security and Privacy.

[7]  Teng Li,et al.  A position-aware Merkle tree for dynamic cloud data integrity verification , 2015, Soft Computing.

[8]  Marco Parvis,et al.  Wireless Sensor Network for Distributed Environmental Monitoring , 2018, IEEE Transactions on Instrumentation and Measurement.

[9]  W. Schlenker,et al.  Airports, Air Pollution, and Contemporaneous Health , 2011 .

[10]  George D Thurston,et al.  The role of air pollution in asthma and other pediatric morbidities. , 2005, The Journal of allergy and clinical immunology.

[11]  S. Tarlo,et al.  The health effects of non-industrial indoor air pollution. , 2008, The Journal of allergy and clinical immunology.

[12]  P. Fanger,et al.  Impact of Temperature and Humidity on the Perception of Indoor Air Quality , 1998 .

[13]  Jian Gao,et al.  Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone? , 2018, Environment international.

[14]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[15]  Kostas E. Psannis,et al.  Secure integration of IoT and Cloud Computing , 2018, Future Gener. Comput. Syst..