Privacy Preserving Algorithm for Blockchain-Based IOT System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9304-6_42
Reference11 articles.
1. Arachchige PCM, Bertok P, Khalil I, Liu D, Camtepe S, Atiquzzaman M (2020) A trustworthy privacy preserving framework for machine learning in industrial IoT systems. IEEE Trans Ind Inf 16(9):6092–6102. https://doi.org/10.1109/TII.2020.2974555. Sept.
2. Chamikara MAP, Bertok P, Khalil I, Liu D, Camtepe S, Mohammed A (2020) A trustworthy privacy preserving framework for machine learning in industrial IoT systems. IEEE Trans Ind Inf, p 1. https://doi.org/10.1109/TII.2020.2974555
3. Hussain F, Hassan R, Hassan SA, Hossain E (2020) Machine learning in IoT security: current solutions and future challenges. IEEE Commun Surv Tutorials. https://doi.org/10.1109/COMST.2020.2986444
4. Mahalle PN, Railkar PN (2015) Identity management for Internet of Things. In: Identity management for Internet of Things. River Publishers, pp i–xx
5. Restuccia F, D’Oro S, Melodia T (2018) Securing the Internet of Things in the age of machine learning and software-defined networking. IEEE Internet Things J 5(6):4829–4842. https://doi.org/10.1109/JIOT.2018.2846040. Dec.
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