2021 IEEE International Conference on Cyber Security and Resilience

Full Program

Summary:

In this paper, we present a theoretical approach concerning the econometric modelling for the estimation of cyber-risk, with the use of time-series analysis methods and alternatively with Machine Learning (ML) based, deep learning methodology. Also we present work performed in the framework of SAINT H2020 Project [1], concerning data mining techniques for retrieving relevant time-series data. We conclude with a review of emerging challenges in cyber-risk assessment brought by the rapid development of adversarial AI.

Author(s):

Ioannis Bothos    
National Centre for Scientific Research DEMOKRITOS
Greece

Vasileios Vlachos    
University of Thessaly
Greece

Dimitris Kyriazanos    
National Centre for Scientific Research DEMOKRITOS
Greece

Ioannis Stamatiou    
University of Patras
Greece

Konstantinos, Georgios Thanos    
National Centre for Scientific Research DEMOKRITOS
Greece

Pantelis Tzamalis    
University of Patras
Greece

Sotirios Nikoletseas    
University of Patras
Greece

Stelios Thomopoulos    
National Centre for Scientific Research DEMOKRITOS
Greece

 


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