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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

Reputation-Based Security Framework for Internet of Things

verfasst von : Ion Bica, Bogdan-Cosmin Chifor, Ștefan-Ciprian Arseni, Ioana Matei

Erschienen in: Innovative Security Solutions for Information Technology and Communications

Verlag: Springer International Publishing

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Abstract

Mobile crowdsensing has emerged as a new paradigm in the IoT world, exploiting users’ mobility in conjunction with advanced capabilities and proliferation of mobile devices. Smartphones, tablets and smartwatches are now typically equipped with sensing and wireless capabilities, enabling them to produce and upload data for different IoT applications. The mobile crowdsensing approach has the advantage of being cost-effective, while also providing real-time data. However, a number of challenges should be addressed in order for mobile crowdsensing to reach its full potential. Security, privacy and reliability of the data provided by mobile devices are the most important ones. In this paper, we propose a security framework with a multi-layer architecture that addresses the trust evaluation of sensing devices based on reputation scores calculated using a naive Bayes algorithm.

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Metadaten
Titel
Reputation-Based Security Framework for Internet of Things
verfasst von
Ion Bica
Bogdan-Cosmin Chifor
Ștefan-Ciprian Arseni
Ioana Matei
Copyright-Jahr
2020
Buch
Innovative Security Solutions for Information Technology and Communications

Print ISBN: 978-3-030-41024-7

Electronic ISBN: 978-3-030-41025-4

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-41025-4_14