Buscar
Mostrando ítems 11-20 de 1703
Prevention and fighting against web attacks through anomaly detection technology. A systematic review
Numerous techniques have been developed in order to prevent attacks on web servers. Anomaly detection techniques are based on models of normal user and application behavior, interpreting deviations from the established ...
A model for anomaly classification in intrusion detection systems
(2015-09-21)
Intrusion Detection Systems (IDS) are traditionally divided into two types according to the detection methods they employ, namely (i) misuse detection and (ii) anomaly detection. Anomaly detection has been widely used and ...
Machine tools anomaly detection through nearly real-time data analysis
This work presents a new methodology for machine tools anomaly detection via operational
data processing. The previous methodology has been field tested on a milling-boring machine
in a real production environment. This ...
Deep Ip Flow Inspection To Detect Beyond Network Anomalies
(Elsevier Science BVAmsterdam, 2017)
Anomaly based Intrusion Detection using Modified Fuzzy Clustering
This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. ...
A multi-scale a contrario method for unsupervised image anomaly detection
(IEEE, 2021)
Anomalies can be defined as any non-random structure which deviates from normality. Anomaly detection methods reported in the literature are numerous and diverse, as what is considered anomalous usually varies depending ...
An Anomaly Detection Process for a Business Solution
(ITESO, 2021)
Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection
(Molecular Diversity Preservation International, 2018-01)
We propose a definition of entropy for stochastic processes. We provide a reproducing kernel Hilbert space model to estimate entropy from a random sample of realizations of a stochastic process, namely functional data, and ...
Prenatal detection of congenital anomalies and related factors in Argentina
(Springer, 2020-07)
Congenital anomalies (CAs) are a leading cause of neonatal death. Many CAs can be diagnosed prenatally. To estimate the prenatal detection rate (PDR) of CA in hospitals participating in the RENAC (National Network of ...