Relevant bibliographies by topics / Detekce anomálie

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Academic literature on the topic 'Detekce anomálie'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Dissertations / Theses on the topic "Detekce anomálie"

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Lieskovan, Tomáš. "Detekce anomálií síťového provozu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317122.

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This semester project presents an analysis of network traffic and detection of anomalies in network traffic by several various means. In the first part of the paper there is an explanation of the methods aiming at denial of service. Then in the second part an implementation of protection by means of selected solutions is presented. The intent is to compare these means which are supposed to detect cyber attacks aiming at denial of service. Another intent is to choose the best solutions from the categories of open-source and commercial solutions. The target of the master thesis was to work out a
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Woidig, Eduard. "Statistické metody detekce anomálií datové komunikace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220539.

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This thesis serves as a theoretical basis for a practical solution to the issue of the use of statistical methods for detecting anomalies in data traffic. The basic focus of anomaly detection data traffic is on the data attacks. Therefore, the main focus is the analysis of data attacks. Within the solving are data attacks sorted by protocols that attackers exploit for their own activities. Each section describes the protocol itself, its usage and behavior. For each protocol is gradually solved description of the attacks, including the methodology leading to the attack and penalties on an alrea
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Fomiczew, Jiří. "Efektivní detekce síťových anomálií s využitím DNS dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234983.

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This thesis describes the design and implementation of system for effective detection of network anomaly using DNS data. Effective detection is accomplished by combination and cooperation of detectors and detection techniques. Flow data in NetFlow and IPFIX formats are used as input for detection. Also packets in pcap format can be used. Main focus is put on detection of DNS tunneling. Thesis also describes Domain Name System (DNS) and anomalies associated with DNS.
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Holasová, Eva. "Specifické metody detekce anomálií v bezdrátových komunikačních sítích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-412985.

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The diploma thesis is focuses on technologies and security of the wireless networks in standard IEEE 802.11, describes the most used standards, definition of physical layer, MAC layer and specific technologies for wireless networks. The diploma thesis is focused on description of selected security protocols, their technologies as well as weaknesses. Also, in the thesis, there are described security threats and vectors of attacks towards wireless networks 802.11. Selected threats were simulated in established experimental network, for these threats were designed detection methods. For testing a
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Bažout, David. "Detekce anomálií v chování davu ve video-datech z dronu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445484.

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There have been lots of new drone applications in recent years. Drones are also often used in the field of national security forces. The aim of this work is to design and implement a tool intended for crowd behavior analysis in drone videodata. This tool ensures identification of suspicious behavior of persons and facilitates its localization. The main benefits include the design of a suitable video stabilization algorithm to stabilize small jitters, as well as trace back of the lost scene. Furthermore, two anomaly detectors were proposed, differing in the method of feature vector extraction a
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Doležal, Jiří. "Detekce škodlivých domén za pomoci analýzy pasivního DNS provozu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236040.

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Tato diplomová práce se zabývá detekcí škodlivých domén za pomoci analýzy pasivního DNS provozu, návrhem a implementací vlastního systému detekce. Provoz DNS se stává terčem mnoha útočníků, kteří využívají toho, že služba DNS je nezbytná pro fungování Internetu. Téměř každá internetová komunikace totiž začíná DNS dotazem a odpovědí. Zneužívání služby DNS nebo využívání slabin této služby se projevuje anomálním chováním DNS provozu. Tato práce obsahuje popis různých metod používaných pro odhalování anomálií a škodlivých domén v DNS datech. Hlavní částí práce je návrh a implementace systému pro
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Pšorn, Daniel. "Detekce síťových anomálií." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236512.

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This master thesis deals with detecting anomalies methods in network traffic. First of all this thesis analyzes the basic concepts of anomaly detection and already using technology. Next, there are also described in more detail three methods for anomalies search and some types of anomalies. In the second part of this thesis there is described implementation of all three methods and there are presented the results of experimentation using real data.
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Arm, Jakub. "Detekce anomálií běhu RTOS aplikace." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432522.

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Due to higher requirements of computational power and safety, or functional safety ofequipments intended for the use in the industrial domain, embedded systems containing areal-time operating system are still the active area of research. This thesis addresses thehardware-assisted control module that is based on the runtime model-based verificationof a target application. This subsystem is intended to increase the diagnostic coverage,particularly, the detection of the execution errors. After the specification of the architecture,the formal model is defined and implemented into hardware using FP
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Bartoš, Václav. "Detekce anomálií v síťovém provozu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237042.

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This work studies systems and methods for anomaly detection in computer networks. At first, basic categories of network security systems and number of methods used for anomaly detection are briefly described. The core of the work is an optimization of the method based on detection of changes in distributions of packet features originally proposed by Lakhina et al. This method is described in detail and two optimizations of it are proposed -- first is focused to speed and memory efficiency, second improves its detection capabilities. Next, a software created to test these optimizations is brief
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Halaj, Jozef. "Detekce anomálií v IoT sítích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417286.

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The goal of the thesis was an analysis of IoT communication protocols, their vulnerabilities and the creation of a suitable anomaly detector. It must be possible to run the detector on routers with the OpenWRT system. To create the final solution, it was necessary to analyze the communication protocols BLE and Z-Wave with a focus on their security and vulnerabilities. Furthermore, it was necessary to analyze the possibilities of anomaly detection, design and implement the detection system. The result is a modular detection system based on the NEMEA framework. The detection system is able to de
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Conference papers on the topic "Detekce anomálie"

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Pál, Bertold Csaba, and Tamás Iványi. "Gépi tanulás lehetőségei a marketingkutatásban." In Egyesület a Marketing Oktatásért és Kutatásért XXX. Nemzetközi Konferencia. Egyesület a Marketing Oktatásért és Kutatásért (EMOK) Pécsi Tudományegyetem Közgazdaságtudományi Kar, 2024. https://doi.org/10.62561/emok-2024-10.

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Az adattudomány és a mesterséges intelligencia (MI) olyan innovatív területek, amelyek az üzleti világban jelentős hatást gyakorolnak, többek között a marketing tudományában is. Az adattudomány a nagy adathalmazok elemzésével, értelmezésével és az adatok alapján történő predikcióval segíti a vállalkozásokat abban, hogy megértsék a piacot és a fogyasztói viselkedést, valamint személyre szabott tartalmat nyújtsanak. A tanulmány célja, hogy rövid áttekintést nyújtson a gépi tanulás lehetőségeiről és a marketingkutatásban betöltött szerepéről. A felügyelt tanulási modellek (klasszifikációs és regr
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