There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
As network security is a growing concern, system administrators lock down their networks by closing inbound ports and only allowing outbound communication over selected protocols ...
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Most intrusion detection systems apply the misuse detection approach. Misuse detection compares recorded audit data with predefined patterns denoted as signatures. A signature is ...