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Intrusion Detection With an Autoencoder and ANOVA Feature Selector
(North Dakota State University, 2021)
Intrusion detection systems are systems that aim at identifying malicious activities or violation of policies in a network. The problem of high dimensionality in intrusion detection systems is a barrier in processing data ...
Extracting Useful Information and Building Predictive Models from Medical and Health-Care Data Using Machine Learning Techniques
(North Dakota State University, 2020)
In healthcare, a large number of medical data has emerged. To effectively use these data to improve healthcare outcomes, clinicians need to identify the relevant measures and apply the correct analysis methods for the type ...
Increasing the Predictive Potential of Machine Learning Models for Enhancing Cybersecurity
(North Dakota State University, 2021)
Networks have an increasing influence on our modern life, making Cybersecurity an important field of research. Cybersecurity techniques mainly focus on antivirus software, firewalls and intrusion detection systems (IDSs), ...