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2017 | OriginalPaper | Chapter

Application of an Improved Data Stream Clustering Algorithm in Intrusion Detection System

Authors : Chunyong Yin, Lian Xia, Jin Wang

Published in: Advanced Multimedia and Ubiquitous Engineering

Publisher: Springer Singapore

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Abstract

With the continuous development of computer network technology, traditional intrusion detection system is short of good adaptability. Aiming at the traditional intrusion detection system is difficult to adapt to the increasing amount of data demand for real-time processing capability, this paper proposes a clustering algorithm based on sliding window data streams, based on which we build the IDS network security defense model. The experiment results show that the model is able to adapt to the high-speed network intrusion detection requirements.

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previous chapter Improved Data Stream Clustering Algorithm for Anomaly Detection
next chapter Short Text Classification Technology Based on KNN+Hierarchy SVM
Literature
1.
Yin, C.Y., Ma, L.Y., Feng, L.: A feature selection method for improved clonal algorithm towards intrusion detection. Int. J. Pattern Recogn. Artif. Intell. 30(5), 1–14 (2016)CrossRef
2.
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Yin, C.Y., Feng, L., Ma, L.Y., Kim, J.Y., Wang, J.: An effective feature selection and data-stream classification model HDP. J. Internet Technol. 17(4), 695–702 (2016)
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Chen, Z.J., Zhang, H.L., Hatcher, W.G., Nguyen, J., Yu, W.: A streaming-based network monitoring and threat detection system. In: IEEE 14th International Conference on Software Engineering Research, Management and Applications (SERA), pp. 31–37 (2016)
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Yin, C.Y., Zhang, S., Xi, J.W.: An improved anonymity model for big data security based on clustering algorithm. Concurr. Comput. Pract. Exp. 29(7), 1–13 (2016)
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Gao, H.W., Zhu, D.J., Wang, X.M.: A parallel clustering ensemble algorithm for intrusion detection system. In: Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science, pp. 450–453 (2011)
7.
Zhu, C.S., Dun, X., Zhu, L.: A study on the application of data stream clustering mining through a sliding and damped window to intrusion detection. In: Fourth International Conference on Information and Computing, pp. 22–26 (2011)
Metadata
Title
Application of an Improved Data Stream Clustering Algorithm in Intrusion Detection System
Authors
Chunyong Yin
Lian Xia
Jin Wang
Copyright Year
2017
Publisher
Springer Singapore
Book
Advanced Multimedia and Ubiquitous Engineering

Print ISBN: 978-981-10-5040-4

Electronic ISBN: 978-981-10-5041-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5041-1_99

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