**Krzysztof Szczypiorski**

Krzysztof Szczypiorski received the M.Sc. (Hons.), Ph.D. (Hons.), and D.Sc. (Habilitation) degrees in telecommunications from the Faculty of Electronics and Information Technology (FEIT), Warsaw University of Technology (WUT), Poland, in 1997, 2007, and 2012. He also completed his postgraduate studies in the psychology of motivation at the University of Social Sciences and Humanities, Warsaw, in 2013 and the Master of Business Administration (MBA) from the Warsaw University of Technology Business School, in 2022. He graduated in advanced networking from Budapest Tech (now Obuda University), Hungary, in 2003, and the Hass School of Business, ´ University of California at Berkeley, in 2013. His research interests include: new methods of phenomenon observation especially in communication and social networks, medicine, and stock exchange, new algorithms in cybersecurity (network steganography and steganalysis, anomaly detection, and fraud management), exploring cyber crimes through digital forensics, and design of advanced intelligence systems. He is currently a Professor of telecommunications with the Institute of Telecommunications (IT), FEIT, WUT, where he is the head and the co-Founder of the Cybersecurity Division. Head and co-founder of Research Centre for Cybersecurity and Data Science at WUT (2020-), head and co-founder B.Sc., M.Sc., MBA Programs in Cybersecurity at WUT (2019-). Since 2015, he has been the co-founder and the R&D Director of Cryptomage S.A. — a cybersecurity company. He is the author or the co-author of over 220 papers, three patent applications (one is granted), and over 80 invited talks.

#### **Preface to "Cybersecurity and Data Science"**

The increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy, so innovations in this field require strong foundations in mathematics, statistics, machine learning and information security.

This book is a reprint of the Special Issue (SI) on Cybersecurity and Data Science published in Electronics. The SI comprises high-quality papers dealing with the challenging research topics in cybersecurity combined with data science, especially with artificial intelligence and machine learning.

The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation. Given this diversity of topics, I hope that the book will represent a valuable reference for researchers in cybersecurity security and data science.

> **Krzysztof Szczypiorski** *Editor*
