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Password Leaks Automated Processing
Dvořák, Jakub ; Veselý, Vladimír (referee) ; Pluskal, Jan (advisor)
The aim of this thesis is to find databases of leaked data and to create an application capable of processing the data, storing it in a suitable database and enabling searching of the data on the basis of significant data. Among other things, the work deals with database research and measurement of uploading and data retrieval speeds, in order to select a suitable database used in the final solution. The resulting application is able to detect the encoding of the input file, the data format and stored items. Using the web interface, it also allows data to be searched based on filtering conditions from a database that has 5 157 229 040 records of leaked data at the time of theses submission. The results of this thesis provide a tool for processing and analysing databases of leaked passwords.
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Comparing of Clustering Algorithms
Jakšík, Aleš ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the comparison of K-means, K-medoids and Fuzzy C-means algorithms. In the first part, it discusses the types of distance measurements, clustering evaluation options and categorization of clustering methods. In the second part, it presents a web application for comparing the selected methods and in the third part it discusses the comparison and evaluation of the results and statistics from running the clustering algorithms in the demonstration application.
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Mapping and analyzing signal coverage in 4G/5G mobile networks
Baránek, Michal ; Jeřábek, Jan (referee) ; Polák, Ladislav (advisor)
Tato práce se zabývá s pokročilým měřením kapacity a spolehlivosti v mobilních sítích, zejména s rozšířeným přijetím technologií 4G a 5G. Vzhledem k tomu, že se tyto sítě stávají stále více nedílnou součástí každodenního života, existuje potřeba efektivních řešení pro hodnocení a optimalizaci jejich výkonu. Primárním cílem této práce je vyvinout cenově dostupná softwarová a hardwarová řešení schopná extrahovat základní klíčové ukazatele výkonu (KPI) z mobilních sítí 4G/5G. Navrhovaný systém si klade za cíl poskytnout uživatelům přístupný nástroj pro hodnocení výkonu sítě, pokrytí signálem v konkrétních oblastech a prediktivní modely pro budoucí kapacitu sítě. Tyto funkce jsou prezentovány prostřednictvím uživatelsky přívětivého grafického rozhraní (tzv. GUI), které umožňuje přímočará a cenově výhodná měření ve venkovním i vnitřním prostředí.
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Anomaly and threat detection in audit logs using machine learning
Ludes, Adam ; Ježek, Štěpán (referee) ; Tomašov, Adrián (advisor)
Tato práce představuje softwarové architektury založené na cloudu, techniky detekce anomálií, strojové učení a analýzu dat za účelem vytvoření modelu pro detekci anomálií v audit lozích z Red Hat OpenShift Container Platform. Jsou představeny statistické metody a analýza časových řad pro detekci anomálií, zatímco jsou implementovány a hodnoceny modely strojového učení a techniky předzpracování dat. Výsledky ukazují omezení tradičních modelů při zpracování anomálií v hluboce vnořených datech, zatímco model zpracovávající přirozený jazyk prokazuje robustní výkon. Tato práce poskytuje cenné poznatky a může být použita jako reference pro výzkum i praxi v oblasti softwarových architektur založených na cloudu, detekce anomálií, strojového učení a analýzy dat.
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Knowledge Discovery from Time Series
Krutý, Peter ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This thesis is focused on the field of knowledge discovery from data, specifically from time series. Main objective is to research Python programming language support in this area and then design and implement an application that will allow to demonstrate and compare selected methods. Methods are demonstrated in experiments using appropriate data set. The output of the thesis is a comparison of methods for specific tasks and the application implementing selected methods.
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Efficiency analysis of the heat source with heat pumps
Miklas, Václav ; Hejčík, Jiří (referee) ; Máša, Vítězslav (advisor)
This thesis is focused on the gross COP analysis of the heat source with heat pumps. In the first part, summary of the heat pump research including progressive technologies is presented. The main part is the case study dealing with the efficiency analysis of the heating system based on air source heat pumps. That includes theoretical formulation of the conditions which affects gross COP of the heat pumps. The main contribution is the evaluation of measured data. The outcome of evaluation is the average COP in the selected period. The outcome also includes dependence of the COP on different conditions and comparison of the evaluated COP and the theoretical one. Consequently, some methods for optimal operating of the heat source are recommended.
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Data Mining with Python
Krestianková, Tamara ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with principles of data mining process, available Python packages for data mining and a demonstration of Python script capable of data analyisis focused on classification techniques. Created classifiers are able to classify subjects into two groups - healthy people and people suffering from Parkinson's disease - based on their biomedical vocal analysis data.
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Analysis of the meteorological dates
Králík, Martin ; Čmiel, Vratislav (referee) ; Rozman, Jiří (advisor)
The aim of the bachelor’s thesis is to recognize the basics of atmospherical physics, the techniques and measuring instruments used in weather stations and the statistical analysis of three chosen meteorological parameters. Data analysis is made by using graphical display method, which is discussed later on.
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Similarity Searching in Network Data
Hud, Jakub ; Krobot, Pavel (referee) ; Wrona, Jan (advisor)
This bachelor thesis is interested in analyzing IP flow records. IP flow record contains IP flow metadata of specific network communication such as IP addresses, port numbers, network protocol numbers and other. Main goal is to design and implement metrices to determine similarity of NetFlow records. At the beginning of this thesis is description of how to analyze great amount of data. Next there are shown network monitoring technicies and NetFlow. Other parts of this thesis are dedicated to design and implementation of data analysis using DBSCAN algorithm. Implementation of data analysis application is also part of this thesis. As a result, the application can be used to network scan detection using NetFlow data although the results are not very clear and contain a lot of legitimate communication.
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