scholarly journals An intrusion detection algorithm for sensor network based on normalized cut spectral clustering

PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0221920 ◽  
Author(s):  
Gaoming Yang ◽  
Xu Yu ◽  
Lingwei Xu ◽  
Yu Xin ◽  
Xianjin Fang
Keyword(s):  
Intrusion Detection ◽  
Sensor Network ◽  
Spectral Clustering ◽  
Detection Algorithm ◽  
Normalized Cut

scholarly journals Distributed Intrusion Detection Model in Wireless Sensor Network

2015 ◽  
Vol 11 (9) ◽  
pp. 61
Author(s):  
Hanqing Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Optimization Problem ◽  
Detection Algorithm ◽  
Wireless Sensor ◽  
Detection Model ◽  
Security Issues ◽  
Distributed Intrusion Detection ◽  
Collaborative Detection

The security issues of Wireless Sensor Network (WSN) are significant, among which intrusion detection can improve the defense detection performance of WSN, and also balance the security and energy-saving accurately and efficiently. In this paper, we focus on the intrusion detection problem in WSN. Specifically, we propose a cluster-based collaborative detection structure, and the detection algorithm is based on immunity system and Ant Colony Optimization (ACO). The basic idea is to formulate intrusion detection as an optimization problem and introduce immune mechanism into ACO during iterations. Finally, the experiment shows that proposed algorithm outperforms other methods.

Structural Design of Intrusion Detection System

2014 ◽  
Vol 530-531 ◽  
pp. 705-708
Author(s):  
Yao Meng
Keyword(s):  
Intrusion Detection ◽  
Structural Design ◽  
Intrusion Detection System ◽  
Detection System ◽  
Algorithm Design ◽  
Detection Algorithm ◽  
Attack Detection ◽  
Detection Algorithms ◽  
Defense Systems ◽  
Ddos Attack Detection

This paper first engine starting defense from Intrusion Detection, Intrusion detection engine analyzes the hardware platform, the overall structure of the technology and the design of the overall structure of the plug, which on the whole structure from intrusion defense systems were designed; then described in detail improved DDOS attack detection algorithm design thesis, and the design of anomaly detection algorithms.

Search on Method of Netwok Intrusion Detection Based on Support Vector Machine with Pre-Extracting Support Vector

2013 ◽  
Vol 655-657 ◽  
pp. 1787-1790
Author(s):  
Sheng Chen Yu ◽  
Li Min Sun ◽  
Yang Xue ◽  
Hui Guo ◽  
Xiao Ju Wang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Detection Algorithm ◽  
Support Vector ◽  
Distance Ratio ◽  
Training Time ◽  
Training Examples ◽  
Center Distance

Intrusion detection algorithm based on support vector machine with pre-extracting support vector is proposed which combines the center distance ratio and classification algorithm. Given proper thresholds, we can use the support vector as a substitute for the training examples. Then the scale of dataset is decreased and the performance of support vector machine is improved in the detection rate and the training time. The experiment result has shown that the intrusion detection system(IDS) based on support vector machine with pre-extracting support needs less training time under the same detection performance condition.

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