Title :
Quantum Self Organized Map-based intrusion detection system
Author :
Ong Hou, Y. ; Zheng, Xue-feng
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
In this paper, we describe an implementation of a type of SOM - Quantum Self Organized Map (QSOM). The training process of QSOM networks can be described in terms of input pattern presentation and quantum states of weight update by quantum rotation gates. We implemented and applied the QSOM to the network intrusion detection. The validities and feasibilities of the QSOM are confirmed through experiments on KDD Cup 99 datasets. The experiment result shows that the QSOM has great potential ability to increase the detection rate for a general network intrusion detection system.
Keywords :
pattern clustering; quantum computing; security of data; self-organising feature maps; KDD Cup 99 datasets; QSOM network; network intrusion detection system; quantum rotation gate; quantum self organized map; Neurons; Probes; Training; QSOM; intrusion detection system; quantum clustering algorithm; quantum neuron;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641414
