Study on Effective Detection Method of Large Random Network Intrusion Signal
- DOI
- 10.2991/iccsae-15.2016.92How to use a DOI?
- Keywords
- network intrusion; signal detection; wavelet transform
- Abstract
In the detection process of large random network intrusion signal, the signal detection method is key to guarantee the network security, the traditional detection method is simple, time-consuming, and the error is big, the detection precision is low. In view of this situation, a ORB wave intrusion signal detection method is proposed based on three B spline wavelet transform, discrete orthogonal wavelet filtering algorithm is used for decomposition filtering, according to the relationship between wavelet transform and signal singularity, the signal processing method is used for intrusion signal detection, time-frequency analysis is taken for intrusion signal, by extracting the characteristics of the signal, distinguish the jamming signal characteristics of intrinsic signal characterization, the R wave peak is recognized in scale, the starting point and end point of QRS wave are detected in the scale, for each intrusion signal, IMF spectrum analysis with Hilbert transform is taken for mode decomposition, and the network intrusion database is used in simulation. Simulation results show that this algorithm can improve the detection accuracy, and effectively improve the work efficiency in network security defense.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jiapeng Dai PY - 2016/02 DA - 2016/02 TI - Study on Effective Detection Method of Large Random Network Intrusion Signal BT - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering PB - Atlantis Press SP - 494 EP - 499 SN - 2352-538X UR - https://doi.org/10.2991/iccsae-15.2016.92 DO - 10.2991/iccsae-15.2016.92 ID - Dai2016/02 ER -