Abstract
In the pursuit of cities to be more efficient and responsive, various kind of Internet of Things (IoT) devices, such as actuators and sensors are used. This paper focuses on one specific IoT application - the smart building, and investigates the security and privacy issues in an integrated IoT-fog-cloud (IoTFC) smart building architecture. We consider the surveillance, maintenance, environment, and concierge use cases for smart building, in terms of their characteristics, compatible communication technology, and security and privacy requirements. IoTFC provides a comprehensive solution to the security and privacy challenges of authentication, access control, anomaly detection, data privacy and location privacy. To the best of our knowledge, IoTFC is a novel architecture, as it combines a complete set of light-weight security and privacy solutions suitable for smart buildings.
This work was partly funded by the Spanish Government through grants INCIBEC-2015-02491 “Ayudas para la excelencia de los equipos de investigaciòn avanzada en ciberseguridad”, RTI2018-095094-B-C22 “CONSENT”. This research is partially funded by the SPOTS project (RTI2018-095438-A-I00) funded by the Spanish Ministry of Science, Innovation & Universities and 2017 SGR 60 Funded by the Generalitat de Catalunya.
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Antonini, A., Maggi, F., Zanero, S.: A practical attack against a KNX-based building automation system. In: ICS and SCADA Cyber Security Research, pp. 53–60 (2014)
Beresford, A.R., Stajano, F.: Location privacy in pervasive computing. IEEE Pervasive Comput. 2(1), 46–55 (2003)
Boyer, J.P., Tan, K., Gunter, C.A.: Privacy sensitive location information systems in smart buildings. In: Clark, J.A., Paige, R.F., Polack, F.A.C., Brooke, P.J. (eds.) SPC 2006. LNCS, vol. 3934, pp. 149–164. Springer, Heidelberg (2006). https://doi.org/10.1007/11734666_12
Chen, M., Liu, Y., Yu, X.: NLPMM: a next location predictor with Markov modeling. In: Tseng, V.S., Ho, T.B., Zhou, Z.-H., Chen, A.L.P., Kao, H.-Y. (eds.) PAKDD 2014. LNCS (LNAI), vol. 8444, pp. 186–197. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06605-9_16
Costante, E.: Gsmart buildings: trends and challenges for a secure future (2017). https://www.forescout.com/company/blog/smart-buildings-trends-and-challenges-for-a-secure-future/
Faro, C.: Nearly four in ten smart buildings targeted by malicious attacks in h1 (2019). https://usa.kaspersky.com/about/press-releases/2019_smart-buildings-threat-landscape
Ferrández-Pastor, F.J., Mora, H., Jimeno-Morenilla, A., Volckaert, B.: Deployment of IoT edge and fog computing technologies to develop smart building services. Sustainability 10(11), 3832 (2018)
Froiz-Míguez, I., Fernández-Caramés, T.M., Fraga-Lamas, P., Castedo, L.: Design, implementation and practical evaluation of an IoT home automation system for fog computing applications based on mqtt and zigbee-wifi sensor nodes. Sensors 18(8), 2660 (2018)
Hernández-Ramos, J.L., Moreno, M.V., Bernabé, J.B., Carrillo, D.G., Skarmeta, A.F.: SAFIR: secure access framework for IoT-enabled services on smart buildings. J. Comput. Syst. Sci. 81(8), 1452–1463 (2015)
Lilis, G., Kayal, M.: A secure and distributed message oriented middleware for smart building applications. Autom. Constr. 86, 163–175 (2018)
Pappachan, P., et al.: Towards privacy-aware smart buildings: capturing, communicating, and enforcing privacy policies and preferences. In: IEEE ICDCSW, pp. 193–198 (2017)
Salas, J., Megías, D., Torra, V.: SwapMob: swapping trajectories for mobility anonymization. In: Privacy in Statistical Databases, pp. 331–346 (2018)
Shin, K.G., Ju, X., Chen, Z., Hu, X.: Privacy protection for users of location-based services. IEEE Wirel. Commun. 19(1), 30–39 (2012)
Wissam, R., Daniele, S., Kouichi, S.: A new security middleware architecture based on fog computing and cloud to support IoT constrained devices. In: IML 2017, pp. 1–8 (2017)
Ziegeldorf, J.H., Morchon, O.G., Wehrle, K.: Privacy in the Internet of Things: threats and challenges. Secur. Commun. Netw. 7(12), 2728–2742 (2014)
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Qureshi, A., Afaqui, M.S., Salas, J. (2021). IoTFC: A Secure and Privacy Preserving Architecture for Smart Buildings. In: Wang, D., Meng, W., Han, J. (eds) Security and Privacy in New Computing Environments. SPNCE 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 344. Springer, Cham. https://doi.org/10.1007/978-3-030-66922-5_7
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DOI: https://doi.org/10.1007/978-3-030-66922-5_7
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