Authors:
Luiz Lento
1
;
2
;
Pedro Patinho
1
and
Salvador Abreu
1
;
2
Affiliations:
1
Department of Informatics, University of Évora, Portugal
;
2
NOVA-LINCS, University of Évora, Portugal
Keyword(s):
Risk Management, IoT, Threat Mitigation, Probabilistic Logic, Fuzzy Logic.
Abstract:
As the world becomes more and more dynamic and competitive, people live more and more connected, breathing a cybernetic reality in their lives. IoT systems also do not escape this reality, they are omnipresent, providing a wide range of services to their users, and increasing their quality of life, enabled by IoT devices. In parallel with this technology, information security problems are also part of this IoT evolution. A key issue with IoT environments is ensuring security across all services and devices. The diversity of threats, together with the lack of concern of most of its administrators and device designers, make the IoT network environment vulnerable. This article presents RTRMM, a logic-based security risk management model that can help protect IoT environments, with new strategies to detect, analyze and assess risks, making it possible to predict risks and aiming to manage them in real time, thereby improving the reliability and safety of the IoT environment. It makes use
of a combination of probability, fuzzy logic, Markov Chains, Games Theory, and Logic Programming to specify, test and validate its functionalities.
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