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An Empirical Comparison of Botnet Detection Methods
(Elsevier, 2014-06)
The results of botnet detection methods are usually presented without any comparison. Although it is generally accepted that more comparisons with third-party methods may help to improve the area, few papers could do it. ...
Measuring anomalies in cigarette sales using official data from Spanish provinces: Are the anomalies detected by the Empty Pack Surveys (EPSs) used by Transnational Tobacco Companies (TTCs) the only anomalies?
INTRODUCTION There is a literature that questions the veracity of the studies commissioned by transnational tobacco companies (TTCs) to measure the illicit tobacco trade. Furthermore, there are studies that have indicated ...
Net-GAN : Recurrent generative adversarial networks for network anomaly detection in multivariate time-series.
(IEEE/IFIP, 2020)
We introduce Net-GAN, a novel approach to network anomaly detection in time-series, using recurrent neural networks (RNNs) and generative adversarial learning (GAN). Different from the state of the art, which traditionally ...
Multi-resolution time series discord discovery
(Springer, 2017)
Discord Discovery is a recent approach for anomaly detection in time series that has attracted much research because of the wide variety of real-world applications in monitoring systems. However, finding anomalies by ...
A case study for the IONEX CODE-database processing tool software: Ionospheric anomalies before the Mω 8.2 earthquake in Mexico on September 7, 2017
(Science and Information Organization, 2018)
A software tool was developed in the Imaging Processing Research laboratory (INTI-Lab) that automatically downloads several IONEX files around a specific user input date and also performs statistical calculations to look ...
Mining multivariate time-series for anomaly detection in mobile networks on the usage of variational auto encoders and dilated convolutions
(ACM, 2022)
The automatic detection of anomalies in communication networks plays a central role in network management. Despite the many attempts and approaches for anomaly detection explored in the past, the detection of rare events ...
Statistical model applied to NetFlow for network intrusion detection
(2010-12-31)
The computers and network services became presence guaranteed in several places. These characteristics resulted in the growth of illicit events and therefore the computers and networks security has become an essential point ...
Statistical model applied to NetFlow for network intrusion detection
(2010-12-31)
The computers and network services became presence guaranteed in several places. These characteristics resulted in the growth of illicit events and therefore the computers and networks security has become an essential point ...
On the usage of generative models for network anomaly detection in multivariate time-series.
(ACM, 2020)
Despite the many attempts and approaches for anomaly detection explored over the years, the automatic detection of rare events in data communication networks remains a complex problem. In this paper we introduce Net-GAN, ...
Comparison of the techniques decision tree and MLP for data mining in SPAMs detection to computer networks
(2013-12-31)
Anomalies in computer networks has increased in the last decades and raised concern to create techniques to identify these unusual traffic patterns. This research aims to use data mining techniques in order to correctly ...