Cybersecurity and Data Science
This special issue belongs to the section "Computer Science & Engineering".
Special Issue Information
This Special Issue is devoted to promoting the latest research in cybersecurity and data science. Digital transformation turns data into the new oil. 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. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security.
The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data.
Prof. Dr. Krzysztof Szczypiorski
Guest Editor
Manuscript Submission Information
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Keywords
- Cybersecurity: automated safety management systems
- non-repudiation systems, including blockchain-based
- data protection using machine learning
- detection of unknown attacks on ICT systems using big data and fast data algorithms
- post-quantum cryptography
- BioMed Data Science: bioinformatics
- biostatistics
- computational medicine
- Big and Stream Data Science: big data
- distributed storage
- batch and stream analytics (smart city, genomics)
- Advanced Machine Learning: statistical learning methods
- interpretable and explainable predictive models
- clustering
- classification and data fusion
- Mathematical Foundations for Data Science: mathematical foundations of data modeling and analysis
- statistics and probability
- graphs and networks
- soft computing
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Published Papers
Electronics - ISSN 2079-9292