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2017 | OriginalPaper | Buchkapitel

The Concept of Applying Lifelong Learning Paradigm to Cybersecurity

verfasst von : Michał Choraś, Rafał Kozik, Rafał Renk, Witold Hołubowicz

Erschienen in: Intelligent Computing Methodologies

Verlag: Springer International Publishing

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Abstract

One of the current challenges in machine learning is to develop intelligent systems that are able to learn consecutive tasks, and to transfer knowledge from previously learnt basis to learn new tasks. Such capability is termed as lifelong learning and, as we believe, it matches very well to counter current problems in cybersecurity domain, where each new cyber attack can be considered as a new task. One of the main motivations for our research is the fact that many cybersecurity solutions adapting machine learning are concerned as STL (Single Task Learning problem), which in our opinion is not the optimal approach (particularly in the area of malware detection) to solve the classification problem. Therefore, in this paper we present the concept applying the lifelong learning approach to cybersecurity (attack detection).

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Titel: The Concept of Applying Lifelong Learning Paradigm to Cybersecurity
verfasst von: Michał Choraś
Rafał Kozik
Rafał Renk
Witold Hołubowicz
Verlag: Springer International Publishing
Buch: Intelligent Computing Methodologies
Print ISBN: 978-3-319-63314-5

Electronic ISBN: 978-3-319-63315-2

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-63315-2_58

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