Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection
A Theissler - Knowledge-Based Systems, 2017 - Elsevier
The massive growth of data produced in the automotive industry by acquiring data during
production and test of vehicles requires effective and intelligent ways of analysing these …
production and test of vehicles requires effective and intelligent ways of analysing these …
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 …
Combining heterogeneous anomaly detectors for improved software security
Abstract Host-based Anomaly Detection Systems (ADSs) monitor for significant deviations
from normal software behavior. Several techniques have been investigated for detecting …
from normal software behavior. Several techniques have been investigated for detecting …
Ensemble classifier for misuse detection using N-gram feature vectors through operating system call traces
This paper presents development and performance evaluation of a host-based misuse
intrusion detection system. The misuse detection system employs an ensemble design for …
intrusion detection system. The misuse detection system employs an ensemble design for …
Out Of Bounds Anomaly Scores (OBAS) in Smart Failure Detection in Variable Frequency Drives
Smart condition-based maintenance is a critical aspect of Industry 4.0, ensuring the reliable
and long-term operation of devices powered by Variable Frequency Drives (VFDs) …
and long-term operation of devices powered by Variable Frequency Drives (VFDs) …
Toward intelligent autonomous agents for cyber defense: Report of the 2017 Workshop by the North Atlantic Treaty Organization (NATO) Research Group IST-152 …
This report summarizes the discussions and findings of the Workshop on Intelligent
Autonomous Agents for Cyber Defence and Resilience organized by the NATO research …
Autonomous Agents for Cyber Defence and Resilience organized by the NATO research …
OCADaMi: One-class anomaly detection and data mining toolbox
A Theissler, S Frey, J Ehlert - Joint European conference on machine …, 2019 - Springer
This paper introduces the modular anomaly detection toolbox OCADaMi that incorporates
machine learning and visual analytics. The case often encountered in practice where no or …
machine learning and visual analytics. The case often encountered in practice where no or …
[图书][B] An investigation of anomaly-based ensemble models for multi-domain intrusion detection
JW Mikhail - 2019 - search.proquest.com
Although the traditional intrusion detection problem has been well studied with the release
of the KDD'99 and NSL-KDD datasets, recent intrusion detection has expanded to include …
of the KDD'99 and NSL-KDD datasets, recent intrusion detection has expanded to include …
MASKED: A MapReduce Solution for the Kappa-pruned Ensemble-based Anomaly Detection System
MS Islam, KK Sabor, A Trabelsi… - … on Software Quality …, 2018 - ieeexplore.ieee.org
Detecting system anomalies at run-time is critical for system reliability and security. Studies
in this area focused mainly on effectiveness of the proposed approaches; that is, the ability …
in this area focused mainly on effectiveness of the proposed approaches; that is, the ability …
On the Use of Software Tracing and Boolean Combination of Ensemble Classifiers to Support Software Reliability and Security Tasks
MS Islam - 2020 - spectrum.library.concordia.ca
In this thesis, we propose an approach that relies on Boolean combination of multiple one-
class classification methods based on Hidden Markov Models (HMMs), which are pruned …
class classification methods based on Hidden Markov Models (HMMs), which are pruned …