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Wireless Networks

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07-11-2017

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

Authors: Norisvaldo Ferraz Junior, Anderson Silva, Adilson Guelfi, Sergio Takeo Kofuji

Published in: Wireless Networks | Issue 4/2019

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

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).

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

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Title: IoT6Sec: reliability model for Internet of Things security focused on anomalous measurements identification with energy analysis
Authors: Norisvaldo Ferraz Junior
Anderson Silva
Adilson Guelfi
Sergio Takeo Kofuji
Publication date: 07-11-2017
Publisher: Springer US
Published in: Wireless Networks / Issue 4/2019
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI: https://doi.org/10.1007/s11276-017-1610-2

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