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RF-IoT: A Robust Framework to Optimize Internet of Things (IoT) Security Performance

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Software Engineering Methods in Intelligent Algorithms (CSOC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 984))

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Abstract

The current development in data-driven technology has significantly standardized the software defined networking aspects for various cloud enabled streamlined applications. The enormous growth in the statistics associated with the rate of connected devices over computer networks has led to the origins of ides and conceptual notions behind Internet-of-things. The evolution of IoT applications and their potential aspects is witnessed since last 5–6 years, which has made it an active area of research. The diverse and dynamic user requirement instances through on-line services supported with software defined networks (SDN) also leverages the operational cost of IoT. However, the collaboration of different wireless networking components has made IoT vulnerable to different types of security attacks while operated with SDN. The study has introduced a robust security framework namely (Framework for Internet of Things Security) abbreviated as RF-IoT to address security loopholes in IoT networking environment. The secure mechanism in the context of SDN targeted to resist maximum possible attacks in IoT. A numerical simulation environment in created to validate the performance of the RF-IoT in contrast with existing baseline.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, BMSIT&M, Bengaluru, India

    G. N. Anil

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  1. G. N. Anil
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Correspondence to G. N. Anil .

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  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Anil, G.N. (2019). RF-IoT: A Robust Framework to Optimize Internet of Things (IoT) Security Performance. In: Silhavy, R. (eds) Software Engineering Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 984. Springer, Cham. https://doi.org/10.1007/978-3-030-19807-7_21

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