Abstract
The human-to-machine and human-to-human communications are transforming to machine-to-machine communications by which several decision-making systems can be built. When different Internet-enabled smart devices interact with each other to achieve a goal (application depended), then a network is formed in which different sophisticated technologies will integrate to each other to form Internet of Things (IoT). It encompasses the vast amount of diverse smart devices, which collaborate with each other to achieve different smart applications like smart cities, connected cars, automated agriculture, and so on. Through radio-frequency identification (RFID), wireless, mobile, and sensor technologies make IoT feasible, but it suffers from many challenges like scalability, security, and heterogeneity problems. Out of many challenges, security is one of the primary concerns in IoT. Without proper security and privacy, the business model of IoT will not succeed. This chapter discusses the secure solutions for IoT using biometric features of users as well as end users. The chapter will demonstrate that biometric security is most feasible, reliable, and efficient with respect to other existing security arrangements.
Keywords
- Biometric Security
- Zernike Radial Polynomials (RZP)
- Scale Invariant Feature Transform (SIFT)
- Biometric Smart Card
- Remote Patient Monitoring System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Obaidat, M.S., Rana, S.P., Maitra, T., Giri, D., Dutta, S. (2019). Biometric Security and Internet of Things (IoT). In: Obaidat, M., Traore, I., Woungang, I. (eds) Biometric-Based Physical and Cybersecurity Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98734-7_19
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