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Intrusion Detection is a critical process in network security. Neural networks approach is an advanced methodology used for intrusion detection. Self-organizing Maps (SOM) neural network is getting more attention in the field of intrusion detection. In this paper, a type of SOM - Quantum Growing Hierarchical Self Organized Map (QGHSOM) are made in order to improve the stability of intrusion detection...
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...
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