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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Acknowledgments
This work was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI – UEFISCDI, project number PN-III-P1-1.2-PCCDI-2017-0272/Avant-garde Technology Hub for Advanced Security (ATLAS), within PNCDI III.
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Bica, I., Chifor, BC., Arseni, ȘC., Matei, I. (2020). Reputation-Based Security Framework for Internet of Things. In: Simion, E., Géraud-Stewart, R. (eds) Innovative Security Solutions for Information Technology and Communications. SecITC 2019. Lecture Notes in Computer Science(), vol 12001. Springer, Cham. https://doi.org/10.1007/978-3-030-41025-4_14
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DOI: https://doi.org/10.1007/978-3-030-41025-4_14
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