Results 31 to 40 of about 161,068 (368)
Intelligent System Design for Advanced Anomaly Detection in Structured Datasets [PDF]
, 2023 reservedAnomaly detection in structured datasets plays a pivotal role across a wide array of application domains, often serving as a critical tool for identifying significant, actionable insights.
ZANATTA, MICHELE
core
Influence of Features on Accuracy of Anomaly Detection for an Energy Trading System
Sensors, 2021 The biggest problem with conventional anomaly signal detection using features was that it was difficult to use it in real time and it requires processing of network signals.
Hoon Ko, Kwangcheol Rim, Isabel Praça
doaj +1 more source
Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern
Information, 2019 Anomaly detection of network traffic flows is a non-trivial problem in the field of network security due to the complexity of network traffic. However, most machine learning-based detection methods focus on network anomaly detection but ignore the user ...
Ying Zhao +6 more
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Unsupervised Anomaly Detection: investigations on Isolation Forest [PDF]
, 2022 openNel mondo di oggi, la crescente quantità di informazioni disponibili rende possibile analizzare diversi fattori. Uno di questo fattori è il rilevamento delle anomalie.
SAVARINO, VINCENZO
core
A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
Sensors, 2023 Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly detection (AD). With the rapid increase in the number of Internet-connected devices, the growing desire for Internet of Things (IoT) devices in the home, on our ...
Kyle DeMedeiros +2 more
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Detecting Relative Anomaly [PDF]
, 2017 System states that are anomalous from the perspective of a domain expert occur frequently in some anomaly detection problems. The performance of commonly used unsupervised anomaly detection methods may suffer in that setting, because they use frequency as a proxy for anomaly.
Richard Neuberg, Yixin Shi
openaire +2 more sources
Spoofing Attack Detection by Anomaly Detection [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Spoofing attacks on biometric systems can seriously compromise their practical utility. In this paper we focus on face spoofing detection. The majority of papers on spoofing attack detection formulate the problem as a two or multiclass learning task, attempting to separate normal accesses from samples of different types of spoofing attacks.
Fatemifar, S. +3 more
openaire +2 more sources
Anomaly Detection: theoretical analysis and investigation on the Isolation Forest method [PDF]
, 2023 openQuesto lavoro di tesi si concentra sull’analisi teorica e l’implementazione pratica dell’ Anomaly detection, intesa come rilevamento di anomalie, tramite metodi di machine learning, per identificare eventi che risultano sospetti in relazione al ...
BRESSAN, ALBERTO
core
Machine Learning-Driven Predictive Analytics for Real-Time Supply Chain Risk Management
Proceedings of the International Conference on Applied Innovations in ITA resilient and efficient supply chain requires real-time risk management in an increasingly volatile global marketplace. This study examines a supply chain risk management system based on machine learning-driven prediction analytics.
Nagham Ja’far Hussein +1 more
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E-SFD: Explainable Sensor Fault Detection in the ICS Anomaly Detection System
IEEE Access, 2021 Industrial Control Systems (ICS) are evolving into smart environments with increased interconnectivity by being connected to the Internet. These changes increase the likelihood of security vulnerabilities and accidents. As the risk of cyberattacks on ICS
Chanwoong Hwang, Taejin Lee
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