A systematic review on intrusion detection based on the Hidden Markov Model
A Ahmadian Ramaki, A Rasoolzadegan… - … Analysis and Data …, 2018 - Wiley Online Library
Apart from using traditional security solutions in software systems such as firewalls and
access control mechanisms, utilizing intrusion detection systems are also necessary …
access control mechanisms, utilizing intrusion detection systems are also necessary …
Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs
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 …
detecting anomalies in sequences of system calls to the operating system kernel. Using …
Experimental evaluation of expert fusion strategies
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 …
1998) and validate them experimentally. We emulate the behaviour of individual experts by …
Optimal noise benefits in Neyman–Pearson and inequality-constrained statistical signal detection
A Patel, B Kosko - IEEE Transactions on Signal Processing, 2009 - ieeexplore.ieee.org
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 …
resonance”(SR) noise benefits for Neyman–Pearson hypothesis testing and for more …
A comparison of decision-level sensor-fusion methods for anti-personnel landmine detection
F Cremer, K Schutte, JGM Schavemaker… - Information fusion, 2001 - Elsevier
We present the sensor-fusion results obtained from measurements within the European
research project ground explosive ordinance detection (GEODE) system that strives for the …
research project ground explosive ordinance detection (GEODE) system that strives for the …
Two-stream CNNs for gesture-based verification and identification: Learning user style
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 …
biometrics such as face, fingerprint, iris and gait. As a biometric, gesture is a short body …
A classifier fusion system for bearing fault diagnosis
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 …
is proposed in order to reduce noise effect in bearing fault diagnosis systems. Each SVM …
Anomaly detection techniques based on kappa-pruned ensembles
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 …
been shown to reduce the false alarm rate over that of a single detector. However, the …
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Hidden Markov models (HMMs) have been successfully applied in many intrusion detection
applications, including anomaly detection from sequences of operating system calls. In …
applications, including anomaly detection from sequences of operating system calls. In …
Comparison and optimization of machine learning methods for automated classification of circulating tumor cells
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 …
tumor cells (CTCs) captured from whole patient blood. However, locating captured cells in …