Apart from using traditional security solutions in software systems such as firewalls and
access control mechanisms, utilizing intrusion detection systems are also necessary …

Hidden Markov models (HMMs) have been shown to provide a high level performance for
detecting anomalies in sequences of system calls to the operating system kernel. Using …

We investigate the classifier combination models presented in (Kittler et al., 1998; Kittler,
1998) and validate them experimentally. We emulate the behaviour of individual experts by …

We present theorems and an algorithm to find optimal or near-optimal “stochastic
resonance”(SR) noise benefits for Neyman–Pearson hypothesis testing and for more …

Recently, gestures have been proposed as an alternative biometric modality to traditional
biometrics such as face, fingerprint, iris and gait. As a biometric, gesture is a short body …

We present the sensor-fusion results obtained from measurements within the European
research project ground explosive ordinance detection (GEODE) system that strives for the …

In this paper, a new strategy based on the fusion of different Support Vector Machines (SVM)
is proposed in order to reduce noise effect in bearing fault diagnosis systems. Each SVM …

Ensemble-based anomaly detection systems (ADSs), using Boolean combination, have
been shown to reduce the false alarm rate over that of a single detector. However, the …

Hidden Markov models (HMMs) have been successfully applied in many intrusion detection
applications, including anomaly detection from sequences of operating system calls. In …

Advances in rare cell capture technology have made possible the interrogation of circulating
tumor cells (CTCs) captured from whole patient blood. However, locating captured cells in …