Seminar za veštačku inteligenciju, 7. jun 2023.

Naredni sastanak Seminara biće održan onlajn u sredu, 7. juna 2023, sa početkom u 19 časova.
 
Predavač: Andrii Shalaginov, Associate Professor, Department of Technology, Kristiania University, College, Oslo, Norway
 
Naslov predavanja: ARTIFICIAL INTELLIGENCE FOR CYBERSECURITY IN RESOURCE-CONSTRAINED SMART INFRASTRUCTURES: APPLICABILITY, OPPORTUNITIES AND ENERGY MODELLING
 
Apstrakt: Rapid boosted digitalization through the last decade in addition to a worldwide orientation towards smarter and greener environments has resulted in many cities becoming more intelligent when it comes to automation and natural resources utilization. This includes faster development of 5G networks, Wi-Fi 6, blockchain and versatile application of AI. Smart Environment is a technology-enabled phenomenon that offers better, user-friendly and more efficient IoT-based environments with a specific focus on greener and more sustainable future both in rural and city-wise contexts. However, wide range of IoT-enabled devices often lack the means for implementing necessary cybersecurity measures capable of handling adversarial actions both due to limited standardization and weak computation capabilities. Furthermore, following the EU strategy towards energy consumption optimization, it is important to focus on modelling energy-aware Incident Response and Business Continuity from the technological perspective. Tangible cost in watts of cyber-physical threats and controls to prevent these threats need to assessed using intelligent AI-based human-understandable mechanisms. Not only will this help reduce the overall cost based on the performance per watt measure, but it will also give a better understanding of the energy consumption landscape for policymakers and IT governance managers.
 
Napomena: Registraciona forma za učešće na Seminaru je dostupna na linku:
https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p

Ukoliko želite samo da pratite predavanje bez mogućnosti aktivnog učešća, prenos je dostupan na linku:
https://miteam.mi.sanu.ac.rs/asset/4LNW8WtML7rLKojoz


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