Results 171 to 180 of about 109,015 (219)
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ACM Computing Surveys, 2009
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic.
Varun Chandola +2 more
exaly +2 more sources
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic.
Varun Chandola +2 more
exaly +2 more sources
MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM), 2017
Anomaly detection is the process of identifying unusual signals in a set of observations. This is a vital task in a variety of fields including cybersecurity and the battlefield. In many scenarios, observations are gathered from a set of distributed mobile or small form factor devices.
Joseph Schneible, Alex Lu
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Anomaly detection is the process of identifying unusual signals in a set of observations. This is a vital task in a variety of fields including cybersecurity and the battlefield. In many scenarios, observations are gathered from a set of distributed mobile or small form factor devices.
Joseph Schneible, Alex Lu
openaire +1 more source
IEEE Transactions on Knowledge and Data Engineering, 2007
When anomaly detection software is used as a data analysis tool, finding the hardest-to-detect anomalies is not the most critical task. Rather, it is often more important to make sure that those anomalies that are reported to the user are in fact interesting.
Xiuyao Song +3 more
openaire +1 more source
When anomaly detection software is used as a data analysis tool, finding the hardest-to-detect anomalies is not the most critical task. Rather, it is often more important to make sure that those anomalies that are reported to the user are in fact interesting.
Xiuyao Song +3 more
openaire +1 more source
2006 IEEE Symposium on Security and Privacy (S&P'06), 2006
Beginning with the work of Forrest et al, several researchers have developed intrusion detection techniques based on modeling program behaviors in terms of system calls. A weakness of these techniques is that they focus on control flows involving system calls, but not their arguments.
Sandeep Bhatkar +2 more
openaire +1 more source
Beginning with the work of Forrest et al, several researchers have developed intrusion detection techniques based on modeling program behaviors in terms of system calls. A weakness of these techniques is that they focus on control flows involving system calls, but not their arguments.
Sandeep Bhatkar +2 more
openaire +1 more source
An Overview of Anomaly Detection
IT Professional, 2013Security automation continues to depend on signature models, but vulnerability exploitation is exceeding the abilities of such models. The authors, in reviewing the different types of mathematical-based constructs in anomaly detection, reveal how anomaly detection can enhance network security by potentially solving problems that signature models can't ...
Char Sample, Kim Schaffer
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2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Anomaly detection (AD) is designed to find targets that are spectrally distinct from their surrounding neighborhood. Unfortunately, commonly used anomaly detectors generally do not take into account its surrounding spatial information. This paper derives an iterative version of anomaly detection, iterative anomaly detection (IAD) to address this issue.
Yulei Wang 0002 +8 more
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Anomaly detection (AD) is designed to find targets that are spectrally distinct from their surrounding neighborhood. Unfortunately, commonly used anomaly detectors generally do not take into account its surrounding spatial information. This paper derives an iterative version of anomaly detection, iterative anomaly detection (IAD) to address this issue.
Yulei Wang 0002 +8 more
openaire +1 more source
Anomaly detection in substation networks
Journal of Information Security and Applications, 2020Fundamental components of the distribution systems of electric energy are primary and secondary substation networks. Considering the incorporation of legacy communication infrastructure in these systems, they often have inherent cybersecurity vulnerabilities.
Kreimel P. +4 more
openaire +2 more sources