Results 101 to 110 of about 109,015 (219)

Anomaly intrusion detection model using data mining techniques

, 2006
Intrusion detection system has become an important component of a network infrastructure protection mechanism. There are generally two main methods or techniques in intrusion detection; misuse detection and anomaly detection.
Rusli, Rozana, Abdullah, Abdul Hanan
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Anomaly Detection for IoT devices using Hierarchical Self-Organizing Maps

, 2021
With the growing use of the Internet of Things (IoT), the IoT platforms, and the solutions and services related to them, cybersecurity stays of utmost importance.
Toshpulatov, Muhammadjon
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Unsupervised anomaly detection for HVAC units

reservedThis thesis project focuses on the detection, using unsupervised methods, of anomalies in HVAC units. The main goal is to detect compressors' faults by training a specialized isolation forest model on raw sensors' data.
LUISETTO, FEDERICO
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An Anomaly Detection-based approach to Crash Detection in dynamic sports.

, 2023
reservedThis thesis proposes a machine learning-based approach for detecting falls from bikes that lead to the activation of an airbag jacket. The system is designed to utilize sensors integrated within the jacket to detect anomalies in riding patterns ...
BERTIPAGLIA, BEATRICE SOFIA
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Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches

, 2023
reservedIn the Industry 4.0 scenario, the rising adoption of new technologies such as Internet of Things (IoT), Artificial Intelligence and Big Data Computing is shaping the future of manufacturing and industrial automation.
BELLAN, RICCARDO
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CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting

Scientific Data
Anomaly detection in network traffic is crucial for maintaining the security of computer networks and identifying malicious activities. Most approaches to anomaly detection use methods based on forecasting.
Josef Koumar, Karel Hynek, Tomáš Čejka, Pavel Šiška   +3 more
doaj   +1 more source

Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection

IET Image Processing
As one of the dimensionality reduction techniques of hyperspectral image (HSI), band selection (BS) does not change the spectral characteristics and physical meaning of HSIs, which is beneficial to the identification and analysis of surface objects ...
Xiaodi Shang, Yiqi Duan, Xiaopeng Wang, Baijia Fu, Xudong Sun   +4 more
doaj   +1 more source

Anomaly Detection Meta-Analysis Benchmarks

This article provides a thorough meta-analysis of the anomaly detection problem. To accomplish this we first identify approaches to benchmarking anomaly detection algorithms across the literature and produce a large corpus of anomaly detection benchmarks
Emmott, Andrew, Das, Shubhomoy, Wong, Weng-Keen, Fern, Alan, Dietterich, Thomas   +4 more
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ATMSim: An Anomaly Teletraffic Detection Measurement Analysis Simulator

, 2014
Over the last few years, the quantity of teletraffic is rapidly growing because of the explosive increase of Internet users and its applications. The needs of collection, storage, management, analysis, and measurement of the subsequent teletraffic have ...
이종숙
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Explainable anomaly detection for electric vehicles’ charging stations

reservedL’anomaly detection è il processo di identificazione di dati che si discostano sig- nificativamente da un comportamento ritenuto normale. Questa tesi esplora e analizza metodologie e tecniche per la rilevazione di anomalie, esaminandone dif ...
MAZZUCCO, ANDREA
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