As the Internet grows at a very rapid pace, so does the incidence of attack events and documented unlawful intrusions. The Network Intrusion Detection Systems (NIDSes) are designe...
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMR...
Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...
Network Access Control requirements are typically implemented in practice as a series of heterogeneous security-mechanism-centric policies that span system services and application...