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Review of Machine Learning and Data Mining Methods to Predict Different Cyberattacks

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Data Science and Intelligent Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 52))

Abstract

Cybersecurity deals with various types of cybercrimes, but it is essential to identify the similarities in existing cybercrimes using data mining and machine learning technologies. This review paper reveals various data mining algorithms and machine learning algorithms, which can be help to create some specific schema of different cyberattacks. Machine learning algorithms can be helpful to train system to identify anomaly, specific patterns to predict the cyberattacks. Data mining plays a critical role to provide a predictive solution to rectify possible cybercrime and modus operandi and explore defense system against them. This is the era of big data, so it is very difficult to analyze and investigate the irregular activity on cyberspace. Data mining methods, while allowing the system to analyze hidden knowledge and to train expert system to alert and decision-making process. This review paper explores various data mining method like classification, association, and Clustering, while machine learning includes different methods like supervised, semi-supervised, and unsupervised learning methods.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Sankalchand Patel University, Visnagar, India

    Narendrakumar Mangilal Chayal & Nimisha P. Patel

Authors
  1. Narendrakumar Mangilal Chayal
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  2. Nimisha P. Patel
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Corresponding author

Correspondence to Narendrakumar Mangilal Chayal .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Symbiosis Institute of Technology, Pune, India

    Ketan Kotecha

  2. Department of Computer Science, Università degli Studi di Milano, Milan, Italy

    Vincenzo Piuri

  3. Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India

    Hetalkumar N. Shah

  4. Department of Computer Engineering, Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India

    Rajan Patel

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chayal, N.M., Patel, N.P. (2021). Review of Machine Learning and Data Mining Methods to Predict Different Cyberattacks. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_5

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