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Year: 2021


Type: Book chapter



Title: Analysis of Machine Learning Classification Techniques for Anomaly Detection with NSL-KDD Data Set


Author: Cholakoska, Ana
Author: Shushlevska, Martina
Author: Todorov, Zdravko
Author: Efnusheva, Danijela



Abstract:


Publisher: Springer International Publishing


Relation: Lecture Notes in Networks and Systems



Identifier: oai:repository.ukim.mk:20.500.12188/16642
Identifier: http://hdl.handle.net/20.500.12188/16642
Identifier: 10.1007/978-3-030-90321-3_21
Identifier: https://link.springer.com/content/pdf/10.1007/978-3-030-90321-3_21



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Analysis of Machine Learning Classification Techniques for Anomaly Detection with NSL-KDD Data Set202129