Assoc. Prof. Andrii Shalaginov
Kristiania University College, Norway
Title: Artificial Intelligence for Cybersecurity in Resource-Constrained Smart Infrastructures: Applicability, Opportunities and Energy Modelling
Andrii Shalaginov is an Associate Professor and head of SmartSecLab at the Kristiania University College (Norway). His work in academia and industry is widely related to the application of AI for cybersecurity, detection of computer viruses, network attacks and protection of IoT devices. Andrii is an affiliated member of the Malware Lab and Digital Forensics group at the Norwegian University of Science and Technology, where he received PhD in Information Security. From before, he was involved as a cybersecurity researcher in the EUIPO framework related to malware analysis on copyright-infringing websites. Andrii also serves as a nominated representative from Norway and a management committee member in COST Action CA17124 DigForAsp – “Digital forensics: evidence analysis via intelligent systems and practices”.
The European Commission has set an objective to improve energy efficiency to 32.5% by 2030. Smart infrastructure has become a new reality allowing us to use Internet of Things (IoT) technologies and Artificial Intelligence (AI) for better control of energy usage inside-home, factories or even cities. With increased digitalization in past years, also boosted due to the covid-19 pandemic, we can see that such smart technologies positively disrupted all aspects of our lives. Such technologies include a variety of IoT appliances with major resource-constrained and are usually supplied with either battery, solar or another renewable energy resource. Therefore, it is imperative to optimize expensive calculations as much as possible to extend the autonomous operation time. However, every interconnected IoT-based Information and Communication Technology (ICT) has proven to be a target for sophisticated cyberattacks leaving 1.51 billion IoT breaches from January to June 2021. As a matter of fact, cybersecurity has become a vital part of our life independently from the sector or geographical location to combat cyber-physical attacks effectively. Nevertheless, adversarial actors constantly discover previously unseen vulnerabilities and attack vectors that impact both on personal and national levels such that SolarWinds attack. It becomes critical in a smart infrastructure ecosystem with limited resources. Therefore, we need novel models to evaluate the cost of cyberattacks, protective measures and new ways of selecting relevant energy-friendly cyber response scenarios. Cyber-physical attacks on the energy sector have demonstrated dramatic impact through power outages; however, they are less indicative in the research domain when evaluating cybersecurity electrical energy footprint in attack-response scenarios. While many researchers are involved across the globe, focusing on cybersecurity aspects, it has become visible with increased digitalization that energy consumption matters. Not only digitalization but global strategy to reduce energy consumption matters. Our goal with this project is to give a better understanding of the energy consumption landscape for policymakers and IT governance managers when it comes to cyber security.