@inproceedings{ac4a3b21452a4cf8a572e8b4e75b1d0c,
title = "NKB-S: Network Intrusion Detection Based on SMOTE Sample Generation",
abstract = "This paper mainly studies the problem of sample generation for imbalanced intrusion datasets. The NKB-SMOTE algorithm is proposed based on the SMOTE algorithm by combining the K-means algorithm and using a mixture of oversampling and undersampling methods. The Synthetic Minority Oversampling (SMOTE) Technique sample generation is performed on the minority class samples in the boundary cluster, the Tomek links method is used for the majority class samples in the boundary cluster to undersample the boundary cluster, and the NearMiss-2 method is used to undersample the overall data. Then, multi-classification experiments are conducted on the UNSW-NB15 dataset, and the results show that the proposed NKB-SMOTE algorithm can improve the generation quality of samples and alleviate the fuzzy class boundary problem compared with the traditional SMOTE algorithm. Finally, the actual experiment also verifies the effectiveness of the intrusion detection model based on NKB-SMOTE in real scenarios.",
keywords = "Intrusion detection, Machine learning, NBK-SMOTE, Network security, Sample generation",
author = "Yuhan Suo and Rui Wang and Senchun Chai and Runqi Chai and Mengwei Su",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th International Conference on Cognitive Systems and Information Processing, ICCSIP 2022 ; Conference date: 17-12-2022 Through 18-12-2022",
year = "2023",
doi = "10.1007/978-981-99-0617-8\_10",
language = "English",
isbn = "9789819906161",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "130--147",
editor = "Fuchun Sun and Angelo Cangelosi and Jianwei Zhang and Yuanlong Yu and Huaping Liu and Bin Fang",
booktitle = "Cognitive Systems and Information Processing - 7th International Conference, ICCSIP 2022, Revised Selected Papers",
address = "Germany",
}