[PDF][PDF] Machine learning techniques for anomaly detection: an overview
… This paper proposes an overview of machine learning techniques for anomaly detection.
The experiments demonstrated that the supervised learning methods significantly outperform …
The experiments demonstrated that the supervised learning methods significantly outperform …
Machine learning for anomaly detection: A systematic review
… of anomalies. Finally, we present 22 different datasets that are applied in experiments on
anomaly detection, as … In addition, we observe that unsupervised anomaly detection has been …
anomaly detection, as … In addition, we observe that unsupervised anomaly detection has been …
A hybrid machine learning approach to network anomaly detection
T Shon, J Moon - Information Sciences, 2007 - Elsevier
… anomaly detection systems based on machine learning, data mining or statistical algorithms.
These systems use a “normal behavior” model for detecting … to design anomaly detection …
These systems use a “normal behavior” model for detecting … to design anomaly detection …
Machine learning: Anomaly detection
M Kang - … of electronics: fundamentals, machine learning, and …, 2018 - Wiley Online Library
… During the past several decades, numerous anomaly detection techniques have been …
overview of the research on anomaly detection and discuss challenges in anomaly detection. …
overview of the research on anomaly detection and discuss challenges in anomaly detection. …
[PDF][PDF] Machine learning approaches to network anomaly detection
… Our preliminary results of the application of machine learning techniques to network anomaly
detection indicate their potential and highlight the areas where improvement is required. …
detection indicate their potential and highlight the areas where improvement is required. …
[图书][B] Network anomaly detection: A machine learning perspective
DK Bhattacharyya, JK Kalita - 2013 - books.google.com
… such anomalies and detecting them from a machine learning … This book presents machine
learning techniques to counter … learning, unsupervised learning, probabilistic learning, soft …
learning techniques to counter … learning, unsupervised learning, probabilistic learning, soft …
Opprentice: Towards practical and automatic anomaly detection through machine learning
… In comparison, operators traditionally have to spend days learning and selecting detectors,
… this is the first anomaly detection framework that does not require manual detector selection, …
… this is the first anomaly detection framework that does not require manual detector selection, …
[图书][B] Practical machine learning: a new look at anomaly detection
T Dunning, E Friedman - 2014 - books.google.com
… information that can be analyzed through machine learning techniques such as anomaly
detection. … That’s where machine learning and anomaly detection can provide a huge benefit. …
detection. … That’s where machine learning and anomaly detection can provide a huge benefit. …
[PDF][PDF] An application of machine learning to anomaly detection
T Lane, CE Brodley - Proceedings of the 20th national information …, 1997 - cerias.purdue.edu
… anomaly detection problem has been widely studied in the computer security literature. In
this paper we present a machine learning approach to anomaly detection. … or anomalous with …
this paper we present a machine learning approach to anomaly detection. … or anomalous with …
Evaluation of machine learning algorithms for anomaly detection
… In this paper, we evaluate twelve Machine Learning (ML) algorithms in terms of their ability
to detect anomalous behaviours over the networking practice. The evaluation is performed on …
to detect anomalous behaviours over the networking practice. The evaluation is performed on …
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