23rd EANN / EAAAI 2022, 17 - 20 June 2022, Greece

An IoT Authentication Framework for Urban Infrastructure Security using Blockchain and Deep Learning

Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas


  Internet of Things (IoT) enables increased connectivity between devices. However, this benefit also intrinsically increases cybersecurity risks as cyber attackers are provided with expanded network access and additional digital targets. To address this issue, this paper presents a holistic digital and physical cybersecurity user authentication framework, based on Blockchain and Deep Learning (BLDE) algorithms. The introduced user authentication framework, provides an additional layer of resilience against Cybersecurity attacks that may arise through the IoT. Moreover, it controls digital access through the seven OSI layers and via the physical user’s identity, such as finger prints or self-images, before the user is accepted in the IoT network. Finally, it offers many layers of security through its decentralized and distributed nature, in order to reduce the system’s vulnerability from cyber threats.  

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