Abstract

LLANTEN-LUCIO, Yeison Isaac; MARCELES-VILLALBA, Katerine  and  AMADOR-DONADO, Siler. Architecture of an intelligent cybersecurity Framework based on Blockchain technology for IIoT. Ing. compet. [online]. 2022, vol.24, n.2, e22411761.  Epub May 26, 2022. ISSN 0123-3033.  https://doi.org/10.25100/iyc.v24i2.11761.

For organizations today it is very important to have frameworks that can automate certain processes in a certain way that have additional costs for them, and it is that automation takes great importance when the processes are related to cybersecurity, since it is a critical issue that must be updated with the latest technological developments as new vulnerabilities are found over time. That is because, in this work an architecture of a cybersecurity framework based on emerging technologies is proposed that allows to automate the generation of rules and store the information of alerts generated by possible intrusions in a comprehensive way over time, all this making use of IoT devices that are securely connected and authenticated in a Blockchain that stores the entire list of rules and possible alerts generated by certain intrusions. In this way, the rules will be generated automatically by a Deep learning algorithm that is analyzing the traffic that the IoT device emits to the cloud making use of an intrusion detection systemIDS that is monitoring the traffic that passes through a certain network and saves it in a temporary on the device until it is sent to the cloud. Likewise, the architecture also proposes an application layer of which the users who can manage the IoT devices are part, as well as the configurations for their connection with the Blockchain and in the same way they can manage rules and monitoring of the traffic that is being receiving from the devices involved.

Keywords : Architecture; Blockchain; Deep learning; Frameworks; Internet of Things.

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