IOT and secured environments brings together activities such as the
collection of information analysis and active dissemination under different
approaches of the documentation accumulated in research technologies and
disciplines that use artificial intelligence in the field of IOT where it
also provides training in cybersecurity The development of the Internet of
Things, IoT, has facilitated the connection between the real world and the
digital world. The sensing of information and the ability to act on the
physical world has enabled the creation of a smart ecosystem that is being
used to improve essential aspects of production, distribution, and resource
generation systems, energy, food, environment, etc. However, as is the case
when a technology breaks into industrial and residential systems in such a
direct way, the very benefits they provide make these IoT systems a coveted
target for cybercriminals. The cyber threats are many and in common with
those already defined for traditional server and or computer environments.
In the specific case of IoT, it is not only the securitization of the IoT
devices themselves that needs to be taken into account, but also the
transmission of information and data exchanged with IoT device fleet
management systems. This makes the exposure surface of these systems very
large and their dispersion also complicates the ability to correct
problems, e.g. firmware updates or device anomaly issues. When considering
urban environments, this deployment of IoT devices is associated with the
concept of smart cities. For the smart management of certain areas. Waste
management, air quality monitoring, noise pollution monitoring, traffic
congestion, energy consumption, automated parking, automatic lighting,
among others. There are many projects and research in the field of smart
cities and cybersecurity that cover different aspects of threat mechanisms
and threat detection approaches. However, none of these projects cover the
environment associated with rural areas. Smart Rural Areas, hereafter SRE.
SRA is sometimes used as a term associated with smart villages, although
the scope of SRA is much broader than this. The boundary conditions for the
deployment of IoT systems are specifically different and apply to domains
such as smart health, smart education, digital infrastructure development
in villages, community infrastructure development, efficient energy
management, precision, agriculture, or rural heritage conservation. In this
case, projects integrating IoT infrastructure protection in these domains
are very restricted to efficient energy management, smart grids of rural
areas. This is the reason for focusing the proposal on the analysis of the
security and privacy of IoT systems in rural environments and the capacity
to respond to cyber incidents in these environments. Taking into account
the context defined above, the overall objective of the proposal is to
create an IoT network laboratory for experimentation, research, and
transfer of the development of techniques for analysis and detection of
cyber threats in rural environments. Therefore, the following objectives
are proposed. IoT Cyber Threat Analysis Laboratory intelligent rural iot
laboratory development of ai techniques for the detection of cyber threats
for smart rural iot environments optimization and deployment of ai-based
predictive models in iot devices As a result of the generation of knowledge
within the chair and as a contribution to society, an observatory of AI
techniques and their application in IoT will also be created. AI for IoT
Observatory. The observatory aims to become a benchmark in the field of
artificial intelligence application in IoT environments and deployments.
Among its objectives, it aims to actively monitor and disseminate the
state-of-the-art in research, technologies, and adoption of the main
techniques and disciplines that use artificial intelligence in the field of
IoT and more specifically in rural environments, environments with
limitations. Additionally, it aims to raise awareness about the advantages
and disadvantages of this application of AI in different domains, such as
the development of digital infrastructures in villages, efficient energy
management, precision, agriculture, or rural heritage conservation. The
chair is not only oriented towards research, but also towards training both
the general public through a MOC course and the creation of experts through
various specialization courses. The participating institutions are UNED,
Universidade Nova de Lisboa, Corsorcio Centro Associado UNED in Ponferrada,
and is funded by the Ministry of Digital Transformation and Public
Administration through INSIBE. Thanks for your attention, and you can find
more info about our chair in our website, https colon slash slash Sreezy.
Informatica. And yes.