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Relevant bibliographies by topics / Event and anomaly / Dissertations / Theses

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Dissertations / Theses on the topic 'Event and anomaly'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Amen, Bakhtiar. "Distributed contextual anomaly detection from big event streams." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34687/.

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The age of big digital data is emerged and the size of generating data is rapidly increasing in a millisecond through the Internet of Things (IoT) and Internet of Everything (IoE) objects. Specifically, most of today’s available data are generated in a form of streams through different applications including sensor networks, bioinformatics, smart airport, smart highway traffic, smart home applications, e-commerce online shopping, and social media streams. In this context, processing and mining such high volume of data stream becomes one of the research priority concern and challenging tasks. O

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2

Studiawan, Hudan. "Forensic investigation of event logs by automatic anomaly detection." Thesis, Studiawan, Hudan (2020) Forensic investigation of event logs by automatic anomaly detection. PhD thesis, Murdoch University, 2020. https://researchrepository.murdoch.edu.au/id/eprint/59418/.

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Attacks on an operating system have become a significant and increasingly common problem. This type of security incident is recorded in forensic artifacts, such as log files. Forensic investigators will generally examine the logs to analyze such incidents. An anomaly is highly correlated to an attacker's attempts to compromise the system. This thesis proposes a novel framework to automatically detect an anomaly in a forensic timeline constructed from log files. Before identifying anomalies, an automatic log parser is built so that the investigators do not need to define a rule-based parser. Pa

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3

Vendramin, Nicoló. "Unsupervised Anomaly Detection on Multi-Process Event Time Series." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254885.

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Establishing whether the observed data are anomalous or not is an important task that has been widely investigated in literature, and it becomes an even more complex problem if combined with high dimensional representations and multiple sources independently generating the patterns to be analyzed. The work presented in this master thesis employs a data-driven pipeline for the definition of a recurrent auto-encoder architecture to analyze, in an unsupervised fashion, high-dimensional event time-series generated by multiple and variable processes interacting with a system. Facing the above menti

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4

Klerx, Timo [Verfasser]. "Anomaly detection as a one-class problem in discrete event systems / Timo Klerx." Paderborn : Universitätsbibliothek, 2017. http://d-nb.info/1135258287/34.

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5

Li, Zongze. "Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609172/.

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High-performance computing (HPC) systems continue growing in both scale and complexity. These large-scale, heterogeneous systems generate tens of millions of log messages every day. Effective log analysis for understanding system behaviors and identifying system anomalies and failures is highly challenging. Existing log analysis approaches use line-by-line message processing. They are not effective for discovering subtle behavior patterns and their transitions, and thus may overlook some critical anomalies. In this dissertation research, I propose a system log event block detection (SLEBD) met

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6

Chin, Philip Allen. "Sensor Networks: Studies on the Variance of Estimation, Improving Event/Anomaly Detection, and Sensor Reduction Techniques Using Probabilistic Models." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/33645.

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Sensor network performance is governed by the physical placement of sensors and their geometric relationship to the events they measure. To illustrate this, the entirety of this thesis covers the following interconnected subjects: 1) graphical analysis of the variance of the estimation error caused by physical characteristics of an acoustic target source and its geometric location relative to sensor arrays, 2) event/anomaly detection method for time aggregated point sensor data using a parametric Poisson distribution data model, 3) a sensor reduction or placement technique using Bellman opti

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7

Larroche, Corentin. "Network-wide intrusion detection through statistical analysis of event logs : an interaction-centric approach." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT041.

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Les journaux d’événements sont des données structurées décrivant toutes sortes d’activités au sein d’un réseau informatique. En particulier, les comportements malveillants adoptés par d’éventuels attaquants sont susceptibles de laisser une trace dans ces journaux, rendant ces derniers utiles pour la supervision et la détection d’intrusion. Cependant, le volume considérable des journaux d’événements générés en production en rend l’analyse difficile. Cette problématique a suscité de nombreux travaux de recherche sur l’analyse statistique de journaux d’événements pour la détection d’intrusion.Cet

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8

Spedicato, Eugenia. "Fast simulation of the MUonE 2021 test run setup." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23207/.

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This thesis contributes to the study of the electromagnetic calorimeter performances and to the clarification of its role in the selection of mu-e elastic scattering events for the MUonE experiment.Together with the tracking system, the calorimeter constitutes the prototype detector for 2021 the Test Run(TR).One of the main proposals of this thesis is the development of the fast simulation for the calorimeter response, in the working condition expected in the TR.Given a generated set of NLO events, consisting in high energy muons scattering on electrons at rest with prefixed kinematical condit

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9

Conzemius, Robert John. "Stratospheric behavior during tropospheric persistent anomaly events." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/51477.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1990.<br>Includes bibliographic references (p. 131-133).<br>by Robert John Conzemius.<br>M.S.

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10

Paxton, Leilani D. "Development of a Forecast Process for Meteotsunami Events in the Gulf of Mexico." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6564.

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The purpose of this research was to provide a better understanding of meteotsunamis over the eastern Gulf of Mexico along the west coast of Florida and to develop a process for forecasting those events. Meteotsunami waves develop from resonant effects of strong pressure perturbations greater than 1 hPa, moving in excess of 10 m s-1, over water areas up to around 100 m in depth. Meteotsunami events over 0.3 m in height, as measured by three primary NOAA coastal tide gauges at Cedar Key, Clearwater Beach, and Naples, from 2007-2015, impact the Florida Gulf coastline several times per year and ar

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11

Zhao, Zilong. "Extracting knowledge from macroeconomic data, images and unreliable data." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALT074.

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L'identification de système et l'apprentissage automatique sont deux concepts similaires utilisés indépendamment dans la communauté automatique et informatique. L'identification des systèmes construit des modèles à partir de données mesurées. Les algorithmes d'apprentissage automatique construisent des modèles basés sur des données d'entraînement (propre ou non), afin de faire des prédictions sans être explicitement programmé pour le faire. Sauf la précision de prédiction, la vitesse de convergence et la stabilité sont deux autres facteurs clés pour évaluer le processus de l'apprentissage, en

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12

Naji, Yassine. "Abnormal events detection in videos." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG008.

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La détection d'événements anormaux dans les vidéos constitue une tâche complexe en raison de la grande variété des anomalies possibles, du nombre limité de données d'anomalies étiquetées disponibles pour l'entraînement des modèles, ainsi que de la nature contextuelle de la normalité. De surcroît, les données normales et anormales peuvent présenter une forte variabilité intra-classe, rendant leur distinction souvent difficile. Un défi supplémentaire réside dans le manque d'explicabilité des méthodes de détection d'anomalies basées sur l'apprentissage profond qui, bien que performantes, demeuren

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13

Le, bars Batiste. "Event detection and structure inference for graph vectors." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASM003.

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Cette thèse aborde différents problèmes autour de l'analyse et la modélisation de signaux sur graphes, autrement dit des données vectorielles observées sur des graphes. Nous nous intéressons en particulier à deux tâches spécifique. La première est le problème de détection d'événements, c'est-à-dire la détection d'anomalies ou de ruptures, dans un ensemble de vecteurs sur graphes. La seconde tâche consiste en l'inférence de la structure de graphe sous-jacente aux vecteurs contenus dans un ensemble de données. Dans un premier temps notre travail est orienté vers l'application. Nous proposons une

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14

Le, Van Khoa. "Detection of atypical events for security in critical infrastructure." Thesis, Troyes, 2018. http://www.theses.fr/2018TROY0033.

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Ce travail porte sur la surveillance des infrastructures critiques dans le cadre d'un projet nommé VIRTUALIS mené par Thales. La thèse se concentre sur la détection de comportements inhabituels dans un bâtiment. Deux approches ont été proposées à ce problème de surveillance en fonction de la qualité des données disponibles. La première approche vise à surveiller la région identifiée d'un bâtiment, généralement la zone d'importance particulière telle que salle informatique, salle prototype... Les capteurs recueillent des données qui permettent de construire un modèle statistique simple basé sur

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15

Bartl, Vojtěch. "Mapování pohybu osob stacionární kamerou." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-235002.

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The aim of this diploma thesis is to obtain information on the motion of people in a scene from the record of the stationary camera. The procedure to detect exceptional events in the scene was designed. Exceptional events can be fast-moving persons, or persons moving in di erent places than everyone else in the scene. To trace the motion of persons, two algorithms were applied and tested - Optical flow and CAMSHIFT. The analysis of the resulting motions is performed by monitoring the progress of motion, and its comparison with the other motions in the scene. The analysis result is represented

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16

Silva, Alessio Rivetti. "Neuromorphic Event-based Activity and Anomaly Detection." Master's thesis, 2021. http://hdl.handle.net/10316/96136.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia<br>O desenvolvimento de sensores na forma de câmara tem vindo a causar um grande impacto na vida das pessoas, dado que diversos tipos de aplicações são suportados por esta tecnologia. Estas variam entre aplicações de lazer até aplicações de controlo de qualidade e segurança, entre muitas outras. Na última década, um tipo de câmara diferente, desenhado no final da década de 1980, começou a captar o interesse da comunidade de investigadores da área da Visão por Comput

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17

Eimann, Raimund E. A. "Network event detection with entropy measures." 2008. http://hdl.handle.net/2292/3427.

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Information measures may be used to estimate the amount of information emitted by discrete information sources. Network streams are an example for such discrete information sources. This thesis investigates the use of information measures for the detection of events in network streams. Starting with the fundamental entropy and complexity measures proposed by Shannon and Kolmogorov, it reviews a range of candidate information measures for network event detection, including algorithms from the Lempel-Ziv family and a relative newcomer, the T-entropy. Using network trace data from the University

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18

Rong, Teng-Ling, and 榮騰翎. "Anomaly Detection and Event Alert System for IoT Integrated Management Platform." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/cmfzrk.

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碩士<br>國立東華大學<br>資訊工程學系<br>105<br>An IoT（Internet of Things）management platform provides advance cloud applications by integrating a variety of device resources. The core of service support is to separate valuable information from original data. In order to construct real-time services, we implement an anomaly detection module by the support of streaming process and cluster computing from Spark. This thesis aims to propose a fully developed anomaly detection and event alert system. With the RDD data process concept in Spark Streaming, we implement a data analysis module that supports various

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19

Tseng, Chien-Wei, and 曾建偉. "A study on WSN-based anomaly event detecting using cusp catastrophe theory." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/na57uh.

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碩士<br>國立臺中科技大學<br>資訊工程系碩士班<br>103<br>Advances and integrations in wireless communications and sensor technology have promoted developments in wireless sensor networks (WSNs) and their applications in various fields. In large-scale WSNs used for environment monitoring, the sensors are often unevenly distributed, and issues of node failure, power loss, faulty data transmissions, and gaps in sensor coverage are common. These issues, referred to as sparsity and non-uniformity, may affect the accuracy of anomaly event detection. This study thus applied the catastrophe theory to establish potential

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20

SEIDENARI, LORENZO. "Supervised and Semi-supervised Event Detection with Local Spatio-Temporal Features." Doctoral thesis, 2012. http://hdl.handle.net/2158/609165.

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This thesis deals with various aspects of the analysis of video sequences. The first problem this work deals with is the detection of known categories of events. The second problem this work addresses is the retrieval of events of interest regardless of their specific nature. Finally we propose a method that can leverage both semantic high level features and low level image features to reduce the disk space and bandwidth needed.

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21

Biswas, Sovan. "Motion Based Event Analysis." Thesis, 2014. http://etd.iisc.ernet.in/2005/3502.

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Motion is an important cue in videos that captures the dynamics of moving objects. It helps in eﬀective analysis of various event related tasks such as human action recognition, anomaly detection, tracking, crowd behavior analysis, traffic monitoring, etc. Generally, accurate motion information is computed using various optical flow estimation techniques. On the other hand, coarse motion information is readily available in the form of motion vectors in compressed videos. Utilizing these encoded motion vectors reduces the computational burden involved in flow estimation and enables rapid analys

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22

Makanju, Adetokunbo. "Exploring Event Log Analysis with Minimum Apriori Information." 2012. http://hdl.handle.net/10222/14655.

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The continued increase in the size and complexity of modern computer systems has led to a commensurate increase in the size of their logs. System logs are an invaluable resource to systems administrators during fault resolution. Fault resolution is a time-consuming and knowledge intensive process. A lot of the time spent in fault resolution is spent sifting through large volumes of information, which includes event logs, to find the root cause of the problem. Therefore, the ability to analyze log files automatically and accurately will lead to significant savings in the time and cost of downti

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23

Biswas, Sovan. "Motion Based Event Analysis." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/3502.

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Motion is an important cue in videos that captures the dynamics of moving objects. It helps in eﬀective analysis of various event related tasks such as human action recognition, anomaly detection, tracking, crowd behavior analysis, traffic monitoring, etc. Generally, accurate motion information is computed using various optical flow estimation techniques. On the other hand, coarse motion information is readily available in the form of motion vectors in compressed videos. Utilizing these encoded motion vectors reduces the computational burden involved in flow estimation and enables rapid analys

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24

Toledo, Leonardo Micael Freitas. "A Distributed Platform for Security Event Handling in Industrial Control Networks." Master's thesis, 2018. http://hdl.handle.net/10316/83563.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia<br>Durante os últimos anos, os Industrial Automation and Control Systems (IACSes) tornaram-se mais distribuídos. A actual idade de Big Data e Internet of Things (IoT) também trouxe novos desafios, como tratar grandes quantidades de dados heterogéneos em tempo-real. Sem soluções eficientes e escaláveis para processamento de todos os eventos gerados por cada fonte de dados (como um componente de deteção segurança ou sensores de telemetria), muitas informações valiosas podem se perder ou não serem

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25

cho, hsuncheng, and 卓訓正. "A decision support tool for assisting campus network administrator to handle anomaly events." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/17146010738254324814.

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26

Hurlin, William John. "Response of the Labrador Basin to freshening events an idealized model simulation of the great salinity anomaly /." 1998. http://catalog.hathitrust.org/api/volumes/oclc/40676839.html.

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Thesis (Ph. D.)--University of Wisconsin--Madison, 1998.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 155-160).

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27

Lourenço, Pedro Miguel Quitério. "A Management and Monitoring User Interface for an Intrusion and Anomaly Detection System." Master's thesis, 2018. http://hdl.handle.net/10316/83570.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia<br>As infraestruturas críticas deixaram de ser silos isolados. A seu funcionamento partilha dependências com outros sistemas e a sua interconectividade com redes corporativas expõe-nas às mesmas ciberameaças que todos os sistemas informáticos comuns enfrentam. Apesar de a consciencialização para este perigo ter aumentado apenas nos últimos anos, muitos projectos estão já em desenvolvimento com o objectivo de mitigar esta ameaça. O ATENA é um desses projectos que visa o desenvolvimento de um conju

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28

GENCO, RICCARDO. "Analisi integrata dei parametri geofisici registrati a Stromboli durante le fasi di instabilità eruttiva ed eventi anomali." Doctoral thesis, 2017. http://hdl.handle.net/2158/1080261.

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