Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the fu...
Due to the advantages of easy re-configurability and scalability, the memory-based string matching architecture is widely adopted by network intrusion detection systems (NIDS). In...
Several recent works have used neural networks to discriminate vigilance states in humans from electroencephalographic (EEG) signals. Our study aims at being more exhaustive. It t...
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
Searching for multiple string patterns in a stream of data is a computationally expensive task. The speed of the search pattern module determines the overall performance of deep p...