Abstract
The growing use of the Internet in every life area creates an emerging need to provide information security (IS), and numerous classification algorithms approach this problem. This study provides a systematic literature review on the classification algorithms applications for information security on the Internet and cybersecurity. The classification algorithms use cases considered are abusive content, malicious code, information gathering, intrusion attempts, intrusions, availability, information content security, fraud, and vulnerable. As many research papers on that topic were published, this research focuses on recent studies from 2015 to 2020 and includes new areas, like mobile devices and the Internet of things (IoT). The analysis of 1446 selected publications provides insights on classification algorithms applied to IS tasks, their popularity, and the algorithm selection challenges.
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Bryś, M. (2021). Classification Algorithms Applications for Information Security on the Internet: A Review. In: Jajuga, K., Najman, K., Walesiak, M. (eds) Data Analysis and Classification. SKAD 2020. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-030-75190-6_4
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