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Aplicando a transformada wavelet bidimensional na detecção de ataques web
(Universidade Federal de Santa MariaBRCiência da ComputaçãoUFSMPrograma de Pós-Graduação em Informática, 2012-02-27)
With the increase web traffic of comes various threats to the security of web applications.
The threats arise inherent vulnerabilities of web systems, where malicious code or content injection
are the most exploited ...
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
(Cornell Univ., 2023)
With the increasing volume of astronomical data generated by modern survey telescopes, automated pipelines and machine learning techniques have become crucial for analyzing and extracting knowledge from these datasets. ...
Anomaly classification in industrial Internet of things: A review
(ElsevierIntelligent Information Systems Lab.Países Bajos, 2023)
Anomalies Identification in Images from Security Video Cameras Using Mask R-CNN
(Ieee-inst Electrical Electronics Engineers Inc, 2020-03-01)
In this work we developed a system to identify anomalies in images from video security cameras in an urban environment. Initially people are detected in the images using Mask R-CNN. From the binary mask are extracted ...
Improving web application firewalls through anomaly detection
(IEEE, 2018)
Web applications are permanently being exposed to attacks that exploit their vulnerabilities. In this work we
investigate the application of machine learning techniques to leverage Web Application Firewalls (WAF)s, a ...
Unsupervised anomaly detection in large databases using bayesian networks
(TAYLOR & FRANCIS INC, 2008)
Transformation Based Deep Anomaly Detection in Astronomical Images
(Institute of Electrical and Electronics Engineers Inc., 2020)