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IoT6Sec: reliability model for Internet of Things security focused on anomalous measurements identification with energy analysis

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Abstract

Wireless sensor and actuator devices with direct IPv6 Internet access with no human interaction compose the IP-connected Internet of Things (IoT). These devices are resource constrained in processing, memory, and energy—battery operated. IoT devices can have various applications. Although, when directly connected to the Internet they are susceptible to threats (e.g., malicious tamper of packet content to reduce the reliability of device data, the flood of requisitions for the devices to drain their energy). In this way, the literature shows the use of end-to-end security to provide confidentiality, authenticity, and integrity of IoT devices data. However, even with the benefit of secure IoT data, they are not enough to ensure reliable measurements. For this reason, this work presents a reliability model for IoT, focused on the identification of anomalous measurements (using multivariate statistics). In the experiments, we use spatial (proximity) and temporal (time interval variation) correlation, and datasets with true and false data. Additionally, we use an end-to-end secure scenario and analysis of energy consumption. The results prove the feasibility of the triad: reliability (within a system that identifies the type of the anomalous measurements), security, and low energy consumption.

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Notes

  1. Device software font code (with IPSec), example keys, and host configuration files are available at https://github.com/norisjunior/IoT6Sec

  2. The normal and anomalous generated measurements, and the validation clusters (data series at all interval time) are available at https://github.com/norisjunior/IoT6Sec. In the available datasets we use the following description: AD.AP (All Devices with All Physical quantities with anomaly), 1D.AP (One device with All Physical quantities with anomalies), 1D.1P (One Device with One Physical quantity with anomaly).

  3. Used functions are available at https://github.com/norisjunior/IoT6Sec.

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Acknowledgements

This work is funded by the Huawei Company—project number: 2994. The project is managed by Foundation of Support to the University of São Paulo (FUSP) and Eletronic Systems Department of University of São Paulo (PSI). Number of Company / Institution Agreement: OTABRA09160202003286840274.

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Authors and Affiliations

  1. Instituto de Pesquisas Tecnológicas - IPT, São Paulo, Brazil

    Norisvaldo Ferraz Junior, Anderson Silva & Adilson Guelfi

  2. Faculdade de Informática de Presidente Prudente - FIPP, Universidade do Oeste Paulista - UNOESTE, Presidente Prudente, São Paulo, Brazil

    Adilson Guelfi

  3. Universidade Paulista - UNIP, São Paulo, Brazil

    Anderson Silva

  4. Escola Politécnica, Universidade de São Paulo - USP, São Paulo, Brazil

    Anderson Silva & Sergio Takeo Kofuji

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  1. Norisvaldo Ferraz Junior
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Correspondence to Norisvaldo Ferraz Junior.

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Ferraz Junior, N., Silva, A., Guelfi, A. et al. IoT6Sec: reliability model for Internet of Things security focused on anomalous measurements identification with energy analysis. Wireless Netw 25, 1533–1556 (2019). https://doi.org/10.1007/s11276-017-1610-2

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