A5026119602- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Context-Aware Activity Recognition Systems
- Spatial Cognition and Navigation
- Augmented Reality Applications
- Time Series Analysis and Forecasting
Universidad Autónoma de Nayarit
2012-2016
Cultura
2012
Mobile applications have become very important not only as a mean to disseminate information, but also serve guide in unfamiliar contexts. This developed with mobile Augmented Reality (AR) aims give information on the location of points interest within UAN campus. The tools used were through markers Unity3D and Vuforia Software.
In this paper, a technique for detecting anomalous behavior traffic in computer network is presented. Entropy space method based on 3D-space built flow-packet level. The complete set of points obtained the can be seen as data cloud. Each 3D point value clusters each slot traffic. selected features are done by applying Pattern Recognition, Principal Component Analysis, and Kernel Density Estimation. At next stage, modelled using Gaussian Mixtures Extreme Generalized Distributions, which...
AbstractThe Method of Entropy Spaces is based on constructing a three-dimensional space network traffic at packet flow level. Each point in that entropy value the clusters flows observed during time slot. The selection features for clouds data performed using Pattern Recognition (PR) techniques such as Principal Component Analysis (PCA) and Kernel Density Estimation (KDE). typical model formed by Gaussian Mixture (GM) Generalized Extreme Distribution (GEV) defines behavior selected features....