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2017 | OriginalPaper | Chapter

Improved OBS-NMF Algorithm for Intrusion Detection

Authors : Wenping Ma, Yue Wu, Shanfeng Wang, Maoguo Gong

Published in: Bio-inspired Computing: Theories and Applications

Publisher: Springer Singapore

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Abstract

In this paper, the optimal brain surgeon (OBS) strategy is introduced to improve the iterative rule of non-negative matrix factorization (NMF) algorithm for intrusion detection, which is called OBS-NMF algorithm. A new convergence condition and criterion function are proposed to improve the performance of the OBS-NMF algorithm. Then the proposed method is applied in the HIDS and NIDS, the experimental results show that our method can obtain higher accuracy and better stability than the NMF algorithm, and achieves satisfying detection performance. The improved OBS-NMF algorithm is also suitable for real-time intrusion detection.

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Metadata
Title
Improved OBS-NMF Algorithm for Intrusion Detection
Authors
Wenping Ma
Yue Wu
Shanfeng Wang
Maoguo Gong
Copyright Year
2017
Publisher
Springer Singapore
Book
Bio-inspired Computing: Theories and Applications

Print ISBN: 978-981-10-7178-2

Electronic ISBN: 978-981-10-7179-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-7179-9_47

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