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Dissertations / Theses on the topic 'Detekce anomálie'

Author: Grafiati

Published: 28 June 2021

Last updated: 1 February 2022

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1

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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2

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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3

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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6

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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7

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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8

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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9

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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10

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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11

Czudek, Marek. "Detekce síťových anomálií na základě NetFlow dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-235461.

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This thesis describes the use of NetFlow data in the systems for detection of disruptions or anomalies in computer network traffic. Various methods for network data collection are described, focusing especially on the NetFlow protocol. Further, various methods for anomaly detection in network traffic are discussed and evaluated, and their advantages as well as disadvantages are listed. Based on this analysis one method is chosen. Further, test data set is analyzed using the method. Algorithm for real-time network traffic anomaly detection is designed based on the analysis outcomes. This metho

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12

Ondrášek, Michael. "Sběr dat a detekce anomálií přes mobilní zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221268.

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The work deals with the implementation of the specific architecture to detect anomalies in the classroom or in commercial use. The system consists of three parts: Measurement module, mobile applications and server part. Transmission between the measuring module of the server and the evaluation is carried out simultaneously with the visuals on the mobile device. All system components are implemented with the minimum cost and maximum expandability. All the necessary computing power is concentrated in the server part because of usability with multiple simultaneously operating mobile clients. Emph

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13

Spitz, Igor. "Možnosti počítačové detekce defraudací a anomálií v účetních datech." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-199216.

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This thesis analyzes techniques of manipulation of accounting data for the purpose of fraud. It is further looking for methods, which could be capable of detecting these manipulations and it verifies the efficiency of the procedures already in use. A theoretical part studies method of financial analysis, statistical methods, Benford's tests, fuzzy matching and technologies of machine learning. Practical part verifies the methods of financial analysis, Benford's tests, algorithms for fuzzy matching and neural networks.

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14

Juřica, Tomáš. "Hluboké neuronové sítě pro detekci anomálií při kontrole kvality." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-399190.

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The goal of this work is to bring automatic defect detection to the manufacturing process of plastic cards. A card is considered defective when it is contaminated with a dust particle or a hair. The main challenges I am facing to accomplish this task are a very few training data samples (214 images), small area of target defects in context of an entire card (average defect area is 0.0068 \% of the card) and also very complex background the detection task is performed on. In order to accomplish the task, I decided to use Mask R-CNN detection algorithm combined with augmentation techniques such

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15

Stehlík, Petr. "Analýza provozních dat a detekce anomálií při běhu úloh na superpočítači." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-412564.

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V posledních letech jsou superpočítače stále větší a složitější, s čímž souvisí problém využití plného potenciálu systému. Tento problém se umocňuje díky nedostatku nástrojů pro monitorování, které jsou specificky přizpůsobeny uživatelům těchto systémů. Cílem práce je vytvořit nástroj, nazvaný Examon Web, pro analýzu a vizualizaci provozních dat superpočítače a provést nad těmito daty hloubkovou analýzu pomocí neurálních sítí. Ty určí, zda daná úloha běžela korektně, či vykazovala známky podezřelého a nežádoucího chování jako je nezarovnaný přístup do operační paměti nebo např. nízké využití a

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16

Gregorová, Kateřina. "Statistická analýza anomálií v senzorových datech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400530.

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This thesis deals with the failure mode detection of aircraft engines. The main approach to the detection is searching for anomalies in the sensor data. In order to get a comprehensive idea of the system and the particular sensors, the description of the whole system, namely the aircraft engine HTF7000 as well as the description of the sensors, are dealt with at the beginning of the thesis. A proposal of the anomaly detection algorithm based on three different detection methods is discussed in the second chapter. The above-mentioned methods are SVM (Support Vector Machine), K-means a ARIMA (Au

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17

Hošták, Viliam Samuel. "Učení se automatů pro rychlou detekci anomálií v síťovém provozu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-449296.

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The focus of this thesis is the fast network anomaly detection based on automata learning. It describes and compares several chosen automata learning algorithms including their adaptation for the learning of network characteristics. In this work, various network anomaly detection methods based on learned automata are proposed which can detect sequential as well as statistical anomalies in target communication. For this purpose, they utilize automata's mechanisms, their transformations, and statistical analysis. Proposed detection methods were implemented and evaluated using network traffic of

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Šiklóši, Miroslav. "Využití strojového učení pro detekci anomálií na základě analýzy systémových logů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413052.

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Táto diplomová práca sa venuje problematike využitia strojového učenia na detekciu anomálií na základe analýzy systémových logov. Navrhnuté modely sú založené na algoritmoch strojového učenia s učiteľom, bez učiteľa a na hlbokom učení. Funkčnosť a správanie týchto algoritmov sú objasnené ako teoreticky, tak aj prakticky. Okrem toho boli využité metódy a postupy na predspracovanie dát predtým, než boli vložené do modelov strojového učenia. Navrhnuté modely sú na konci porovnané s využitím viacerých metrík a otestované na syslogoch, ktoré modely predtým nevideli. Najpresnejší výkon podali modely

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19

Bondarenko, Maxim. "Algoritmy pro detekci anomálií v datech z klinických studií a zdravotnických registrů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-378147.

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This master's thesis deals with the problems of anomalies detection in data from clinical trials and medical registries. The purpose of this work is to perform literary research about quality of data in clinical trials and to design a personal algorithm for detection of anomalous records based on machine learning methods in real clinical data from current or completed clinical trials or medical registries. In the practical part is described the implemented algorithm of detection, consists of several parts: import of data from information system, preprocessing and transformation of imported dat

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20

Petrovič, Lukáš. "Analýza anomálií v uživatelském chování." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403133.

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The aim of this work is to create an application that allows modeling of user behavior and subsequent search for anomalies in this behavior. An application entry is a list of actions the user has executed on his workstation. From this information and from information about the events that occurred on this device the behavioral model for a specific time is created. Subsequently, this model is compared to models in different time periods or with other users' models. From this comparison, we can get additional information about user behavior and also detect anomalous behavior. The information abo

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Chapčák, David. "Behaviorální analýza síťového provozu a detekce útoků (D)DoS." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317014.

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The semestral thesis deals with the analysis of the modern open-source NIDPS tools for monitoring and analyzing the network traffic. The work rates these instruments in terms of their network location and functions. Also refers about more detailed analysis of detecting and alerting mechanisms. Further analyzes the possibilities of detection of anomalies, especially in terms of statistical analysis and shows the basics of other approaches, such as approaches based on data mining and machine learning. The last section presents specific open-source tools, deals with comparison of their activities

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22

Homoliak, Ivan. "Detekce Útoků v Síťovém Provozu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-261231.

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Tato práce se zabývá problematikou anomální detekce síťových útoků s využitím technik strojového učení. Nejdříve jsou prezentovány state-of-the-art datové kolekce určené pro ověření funkčnosti systémů detekce útoků a také práce, které používají statistickou analýzu a techniky strojového učení pro nalezení síťových útoků. V další části práce je prezentován návrh vlastní kolekce metrik nazývaných Advanced Security Network Metrics (ASNM), který je součástí konceptuálního automatického systému pro detekci průniků (AIPS). Dále jsou navrženy a diskutovány dva různé přístupy k obfuskaci - tunelování

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23

Kuchař, Karel. "Vhodná strategie pro detekci bezpečnostních incidentů v průmyslových sítích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-412978.

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This diploma thesis is focused on problematics of the industrial networks and offered security by the industrial protocols. The goal of this thesis is to create specific methods for detection of security incidents. This thesis is mainly focused on protocols Modbus/TCP and DNP3. In the theoretical part, the industrial protocols are described, there are defined vectors of attacks and is described security of each protocol. The practical part is focused on the description and simulation of security incidents. Based on the data gathered from the simulations, there are identified threats by the int

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Pešek, Martin. "Získávání znalostí z časoprostorových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237048.

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This thesis deals with knowledge discovery in spatio-temporal data, which is currently a rapidly evolving area of research in information technology. First, it describes the general principles of knowledge discovery, then, after a brief introduction to mining in the temporal and spatial data, it focuses on the overview and description of existing methods for mining in spatio-temporal data. It focuses, in particular, on moving objects data in the form of trajectories with an emphasis on the methods for trajectory outlier detection. The next part of the thesis deals with the process of implement

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Kůrová, Martina. "Sjednocená hlášení pro výkonnostní testování." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363835.

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Moderní pokrok v oblasti technologií pro vývoj dnešních softwarových aplikací umožnil vývojářům více se soustředit na vývoj funkčnosti aplikace na úkor sledování jejího výkonu a správy zdrojů. V důsledku toho se zvýšily požadavky na nástroje pro výkonnostní testování, které by měly poskytovat vývojářům jasný a srozumitelný přehled o stavu systému z hlediska jeho výkonu a umožnit rychlou interpretaci naměřených výsledků. Tato práce zkoumá typické výkonnostní problémy dnešních aplikací a navrhuje přístupy, pomocí kterých je možné tyto anomálie automaticky rozpoznat. Pomocí statistických metod, j

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Koňárek, Petr. "Dolování neobvyklého chování v datech trajektorií." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363796.

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The goal of this work is to provide an overview of approaches for mining anomalous behavior in trajectory data. Next part is proposes a mining task for outliner detection in trajectories and selects appropriate methods for this task. Selected methods are implemented as application for outliner trajectories detection.

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Jacko, Michal. "Metody klasifikace síťového provozu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363885.

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This paper deals with a problem of detection of network traffic anomaly and classification of network flows. Based on existing methods, paper describes proposal and implementaion of a tool, which can automatically classify network flows. The tool uses CUDA platform for network data processing and computation of network flow metrics using graphics processing unit. Processed flows are subsequently classified by proposed methods for network anomaly detection.

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Hujňák, Ondřej. "Systém pro rozpoznávání APT útoků." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255485.

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The thesis investigates APT attacks, which are professional targeted attacks that are characterised by long-term duration and use of advanced techniques. The thesis summarises current knowledge about APT attacks and suggests seven symptoms that can be used to check, whether an organization is under an APT attack. Thesis suggests a system for detection of APT attacks based on interaction of those symptoms. This system is elaborated further for detection of attacks in computer networks, where it uses user behaviour modelling for anomaly detection. The detector uses k-nearest neighbors (k-NN) met

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Turčan, Igor. "Studie magnonických krystalů ve frekvenční doméně." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-319483.

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Popis magnetodynamických vlastností nanomagnetů a nanostrukturovaných magnetických materiálů vyžaduje metody vhodné pro zkoumání typické časové odezvy těchto systémů, tj. v řádu nanosekund a méně. Nedostatek technik, vhodných právě pro charakterizaci v časové doméně, je spojen s možnostmi současné elektroniky. Další možný přístup, jak popsat vlastnosti nanomagnetů, je charakterizace ve frekvenční doméně v pásmu GHz. Nejrozšířenější technikou charakterizace ve frekvenční doméně je měření feromagnetické rezonance (FMR). Ze spekter FMR lze získat cenné informace o systému: parametr tlumení, satur

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Šormová, Hana. "Detekce anomálií v datech výzkumu PROSO." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-178666.

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The thesis deals with algorithms for detecting anomalies in the data collected by the Problem Solving Tutor research. In the theoretical part, the author introduces the term of anomaly, the ideas of the PROSO research and a detailed overview of existing algorithms to detect anomalies. In the practical part, selected algorithms are implemented. Real outputs and results as well as recommendations to a user are presented in this part, and the chapter is supplemented by a number of graphs. The implemented algorithms are also compared to existing data mining software. An example of working with the

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Adam, Martin. "Strojové učení pro monitorování počítačových clusterů." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-410613.

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With the explosion of the number of distributed applications, a new dynamic server environment emerged grouping servers into clusters, whose utilization depends on the cur- rent demand for the application. Detecting and fixing erratic server behavior is paramount for providing maximal service stability and availability. Using standard techniques to de- tect such behavior is yielding sub-optimal results. We have collected a dataset of OS-level performance metrics from a cluster running a streaming distributed application and in- jected artificially created anomalies. We then selected a set of v

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