Listar por tema "anomaly detection"
Mostrando ítems 1-5 de 5
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Anomaly based Intrusion Detection using Modified Fuzzy Clustering
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)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. ... -
ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System
(International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ... -
Machine tools anomaly detection through nearly real-time data analysis
(Journal of Manufacturing and Materials Processing, 12/2019)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 ... -
Prevention and fighting against web attacks through anomaly detection technology. A systematic review
(Sustainability (Switzerland), 01/06/2020)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 ... -
Video anomaly detection system using deep convolutional and recurrent models
(Results in Engineering, 2023)Automatic identification of anomalies in video surveillance is an interesting research field. Even though interactive multimedia anomaly detection algorithms have been developed, it is still hard for video surveillance to ...
